This project is about the representation of the present as an analogy to the past and differences between situations that do and don’t map well to the past.
The net is rife with rumours that spread through microblogs and social media. Not all the claims in these can be verified. However, recent work has shown that the stances alone that commenters take toward claims can be sufficiently good indicators of claim veracity, using e.g. an HMM that takes conversational stance sequences as the only input. Existing results are monolingual (English) and mono-platform (Twitter). This paper introduces a stanceannotated Reddit dataset for the Danish language, and describes various implementations of stance classification models. Of these, a Linear SVM provides predicts stance best, with 0.76 accuracy / 0.42 macro F1. Stance labels are then used to predict veracity across platforms and also across languages, training on conversations held in one language and using the model on conversations held in another. In our experiments, monolinugal scores reach stance-based veracity accuracy of 0.83 (F1 0.68); applying the model across languages predicts veracity of claims with an accuracy of 0.82 (F1 0.67). This demonstrates the surprising and powerful viability of transferring stance-based veracity prediction across languages.
The net is rife with rumours that spread through microblogs and social media. Not all the claims in these can be verified. However, recent work has shown that the stances alone that commenters take toward claims can be sufficiently good indicators of claim veracity, using e.g. an HMM that takes conversational stance sequences as the only input. Existing results are monolingual (English) and mono-platform (Twitter). This paper introduces a stanceannotated Reddit dataset for the Danish language, and describes various implementations of stance classification models. Of these, a Linear SVM provides predicts stance best, with 0.76 accuracy / 0.42 macro F1. Stance labels are then used to predict veracity across platforms and also across languages, training on conversations held in one language and using the model on conversations held in another. In our experiments, monolinugal scores reach stance-based veracity accuracy of 0.83 (F1 0.68); applying the model across languages predicts veracity of claims with an accuracy of 0.82 (F1 0.67). This demonstrates the surprising and powerful viability of transferring stance-based veracity prediction across languages.
Boom Narrative - Preston Teeter - Cracking the Enigma of Asset Bubbles with N...Preston B Teeter
This speech was given at the 2014 Australian and New Zealand Academy of Management Conference in Sydney, Australia.
In this presentation, we first explain how a variety of fields have failed to explain, predict, and prevent large-scale asset bubbles. While many have placed most of the blame for this failure on mainstream economists, we argue that our collective failure to recognize and examine the role that narratives play in market speculation is at the root of this issue.
Accordingly, in this speech, we identify why narratives and narrative thought play such an influential role in market speculation. First, asset bubbles typically arise during periods of heightened uncertainty, such as after periods of profound innovation or the creation of new markets. Uncertainty requires investors to rely on narratives, our preferred sense-making currency. Second, asset bubbles also tend to arise during euphoric periods of easy credit and loose regulations, conditions that attract a surge in retail investors and copycat organizations. These players rely on narratives as a form of sense-giving, as consumers of narratives, to make investment decisions. Lastly, in today's international and high-speed investment environment, narratives play a large role in attracting our attention, thus limiting our investment options and guiding quick decision making.
Moving forward, we identify two broad areas of narrative research. First, research is needed on the origins of narratives during speculative bouts. This requires research into the descriptive features of these narratives, along with their deeper structural components. Second, research is needed on the spread of narratives, including their institutional features.
Troubling Qualitative Inquiry: Accounts as data and as products
線上購買及更多軟體介紹及下載試用,歡迎至本公司線上商店 ,Buy Online :
http://www.appcenter.com.tw/
or
http://www.cheerchain.com.tw
Cheer Chain Enterprise Co., Ltd.
T +886 4 2386 3559 | F +886-42386 3159
info@cheerchain.com.tw | www.cheerchain.com.tw
Distribution of Software | Training Courses | Consulting Services
Dignity Essay. . Dignity Essay by Nancy ShannonShannon Bennett
Beautiful Dignity Of Labour Essay English ~ Thatsnotus. 016 Essay Example Dignity Of Labour English 10023 Thumb ~ Thatsnotus. Dignity Essay by Nancy Shannon. Human Dignity 09 | PDF | Dignity | Catholic Social Teaching.
Untangling Concepts, Objects, and InformationJim Logan
This presentation aims to answer many questions related to concept modeling:
• What is a concept?
• How do we get from concepts and objects to information about objects?
• Can we untangle concepts, objects, and information?
• What kinds of models are there?
• Is it useful to separate things in reality from evidence, measurements, samplings, and recordings?
Boom Narrative - Preston Teeter - Cracking the Enigma of Asset Bubbles with N...Preston B Teeter
This speech was given at the 2014 Australian and New Zealand Academy of Management Conference in Sydney, Australia.
In this presentation, we first explain how a variety of fields have failed to explain, predict, and prevent large-scale asset bubbles. While many have placed most of the blame for this failure on mainstream economists, we argue that our collective failure to recognize and examine the role that narratives play in market speculation is at the root of this issue.
Accordingly, in this speech, we identify why narratives and narrative thought play such an influential role in market speculation. First, asset bubbles typically arise during periods of heightened uncertainty, such as after periods of profound innovation or the creation of new markets. Uncertainty requires investors to rely on narratives, our preferred sense-making currency. Second, asset bubbles also tend to arise during euphoric periods of easy credit and loose regulations, conditions that attract a surge in retail investors and copycat organizations. These players rely on narratives as a form of sense-giving, as consumers of narratives, to make investment decisions. Lastly, in today's international and high-speed investment environment, narratives play a large role in attracting our attention, thus limiting our investment options and guiding quick decision making.
Moving forward, we identify two broad areas of narrative research. First, research is needed on the origins of narratives during speculative bouts. This requires research into the descriptive features of these narratives, along with their deeper structural components. Second, research is needed on the spread of narratives, including their institutional features.
Troubling Qualitative Inquiry: Accounts as data and as products
線上購買及更多軟體介紹及下載試用,歡迎至本公司線上商店 ,Buy Online :
http://www.appcenter.com.tw/
or
http://www.cheerchain.com.tw
Cheer Chain Enterprise Co., Ltd.
T +886 4 2386 3559 | F +886-42386 3159
info@cheerchain.com.tw | www.cheerchain.com.tw
Distribution of Software | Training Courses | Consulting Services
Dignity Essay. . Dignity Essay by Nancy ShannonShannon Bennett
Beautiful Dignity Of Labour Essay English ~ Thatsnotus. 016 Essay Example Dignity Of Labour English 10023 Thumb ~ Thatsnotus. Dignity Essay by Nancy Shannon. Human Dignity 09 | PDF | Dignity | Catholic Social Teaching.
Untangling Concepts, Objects, and InformationJim Logan
This presentation aims to answer many questions related to concept modeling:
• What is a concept?
• How do we get from concepts and objects to information about objects?
• Can we untangle concepts, objects, and information?
• What kinds of models are there?
• Is it useful to separate things in reality from evidence, measurements, samplings, and recordings?
Similar to Making Sense Of It All: Mapping the Current to the Past (20)
Time :The role of agency in temporal metaphorsJohn Dennis
In this presentation, we describe metaphors and their structure, we also discuss how temporal metaphors can be used in psychological research to better understand the nature of metaphors.
Time: Structural alignment and retrospective duration estimatesJohn Dennis
By psychological point of view, the concept of time estimation is presented, we also discuss some perspective and problem on psychological research on time estimation.
In questa presentazione illustriamo ”Drawing Together”, un'applicazione di disegno collaborativo che permette all’insegnante e tutti i bambini connessi di disegnare assieme su una lavagna condivisa.
How to Create Map Views in the Odoo 17 ERPCeline George
The map views are useful for providing a geographical representation of data. They allow users to visualize and analyze the data in a more intuitive manner.
We all have good and bad thoughts from time to time and situation to situation. We are bombarded daily with spiraling thoughts(both negative and positive) creating all-consuming feel , making us difficult to manage with associated suffering. Good thoughts are like our Mob Signal (Positive thought) amidst noise(negative thought) in the atmosphere. Negative thoughts like noise outweigh positive thoughts. These thoughts often create unwanted confusion, trouble, stress and frustration in our mind as well as chaos in our physical world. Negative thoughts are also known as “distorted thinking”.
How to Split Bills in the Odoo 17 POS ModuleCeline George
Bills have a main role in point of sale procedure. It will help to track sales, handling payments and giving receipts to customers. Bill splitting also has an important role in POS. For example, If some friends come together for dinner and if they want to divide the bill then it is possible by POS bill splitting. This slide will show how to split bills in odoo 17 POS.
The Art Pastor's Guide to Sabbath | Steve ThomasonSteve Thomason
What is the purpose of the Sabbath Law in the Torah. It is interesting to compare how the context of the law shifts from Exodus to Deuteronomy. Who gets to rest, and why?
Ethnobotany and Ethnopharmacology:
Ethnobotany in herbal drug evaluation,
Impact of Ethnobotany in traditional medicine,
New development in herbals,
Bio-prospecting tools for drug discovery,
Role of Ethnopharmacology in drug evaluation,
Reverse Pharmacology.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Making Sense Of It All: Mapping the Current to the Past
1. Making Sense Of It All:
Mapping the Current to the Past
Dissertation Defense
Dept of Psychology
University of Texas at Austin
April 19, 2010
John Lawrence Dennis
Peter MacNeilage, Supervisor; Barbara Davis, Richard Gerrig, James Pennebaker, Jacqueline
Wooley
Committee Members:
3. Mapping the Current to the Past
Fantasy vs Reality-Based Narratives
Conceptual Overview
4. Mapping the Current to the Past
Fantasy vs Reality-Based Narratives
Systematicity Differences
Conceptual Overview
5. Mapping the Current to the Past
Fantasy vs Reality-Based Narratives
Systematicity Differences
Comparative Judgments
Conceptual Overview
6. Theoretical Questions
• How is the representation of a narrative tied up in an
analogy to a previously encountered narrative?
7. Theoretical Questions
• How is the representation of a narrative tied up in an
analogy to a previously encountered narrative?
• How is this process is moderated by the systematicities of
the two narratives?
8. Theoretical Questions
• How is the representation of a narrative tied up in an
analogy to a previously encountered narrative?
• How is this process is moderated by the systematicities of
the two narratives?
• How is this process reflected in various judgments about
the narratives?
10. Study 1: Reality1st vs Fantasy1st
Study 2: Reality vs Reality
Studies 1-3 Road Map
11. Studies 1-3 Road Map
Study 1: Reality1st vs Fantasy1st
Study 2: Reality vs Reality
Study 3: Fantasy vs Fantasy
12. Subjects read reality and fantasy-based narratives:
• eg, a wolf attacking a chicken
• eg, a book attacking a pencil
Study 1: Reality1st vs Fantasy1st
13. Subjects read reality and fantasy-based narratives:
• eg, a wolf attacking a chicken
• eg, a book attacking a pencil
Then performed a series of comparative judgments:
• Directional Similarity Judgment
Study 1: Reality1st vs Fantasy1st
14. Subjects read reality and fantasy-based narratives:
• eg, a wolf attacking a chicken
• eg, a book attacking a pencil
Then performed a series of comparative judgments:
• Directional Similarity Judgment
• Directional Duration Judgment
Study 1: Reality1st vs Fantasy1st
15. Subjects read reality and fantasy-based narratives:
• eg, a wolf attacking a chicken
• eg, a book attacking a pencil
Then performed a series of comparative judgments:
• Directional Similarity Judgment
• Directional Duration Judgment
• Segmentation of Narrative Event Structure
Study 1: Reality1st vs Fantasy1st
16. Subjects read reality and fantasy-based narratives:
• eg, a wolf attacking a chicken
• eg, a book attacking a pencil
Then performed a series of comparative judgments:
• Directional Similarity Judgment
• Directional Duration Judgment
• Segmentation of Narrative Event Structure
• Listing of Commonalities and Differences
Study 1: Reality1st vs Fantasy1st
18. Predictions
• Grounding representation of the fantasy narrative in the reality
narrative for RealityFirst condition
• For RealityFirst:
– Directional similarity should increase
19. Predictions
• Grounding representation of the fantasy narrative in the reality
narrative for RealityFirst condition
• For RealityFirst:
– Directional similarity should increase
– Directional duration should decrease
20. Predictions
• Grounding representation of the fantasy narrative in the reality
narrative for RealityFirst condition
• For RealityFirst:
– Directional similarity should increase
– Directional duration should decrease
– Segmentation should increase and positively correlate with duration
21. Predictions
• Grounding representation of the fantasy narrative in the reality
narrative for RealityFirst condition
• For RealityFirst:
– Directional similarity should increase
– Directional duration should decrease
– Segmentation should increase and positively correlate with duration
– Commonalities and differences statements should increase
22. Predictions
• Grounding representation of the fantasy narrative in the reality
narrative for RealityFirst condition
• For RealityFirst:
– Directional similarity should increase
– Directional duration should decrease
– Segmentation should increase and positively correlate with duration
– Commonalities and differences statements should increase
– Semantic overlap should increase between reality narrative and statements
23. Discussion
• Most predictions were confirmed, for RealityFirst:
– Directional similarity should increase
» CONFIRMED
24. Discussion
• Most predictions were confirmed, for RealityFirst:
– Directional similarity should increase
» CONFIRMED
– Directional duration should decrease
» CONFIRMED
25. Discussion
• Most predictions were confirmed, for RealityFirst:
– Directional similarity should increase
» CONFIRMED
– Directional duration should decrease
» CONFIRMED
– Segmentation should increase
» CONFIRMED
26. Discussion
• Most predictions were confirmed, for RealityFirst:
– Directional similarity should increase
» CONFIRMED
– Directional duration should decrease
» CONFIRMED
– Segmentation should increase
» CONFIRMED
– Commonalities and differences statements should increase
» FAILED TO CONFIRM
27. Discussion
• Most predictions were confirmed, for RealityFirst:
– Directional similarity should increase
» CONFIRMED
– Directional duration should decrease
» CONFIRMED
– Segmentation should increase
» CONFIRMED
– Commonalities and differences statements should increase
» FAILED TO CONFIRM
– Semantic overlap should increase between reality narrative and
statements
» CONFIRMED
28. Discussion
• Most predictions were confirmed
• Processing was reduced when the reality-based narrative was
read first consistent with Bowdle & Gentner (1997)
29. Discussion
• Most predictions were confirmed
• Processing was reduced when the reality-based narrative was
read first consistent with Bowdle & Gentner (1997)
• Systematicity differences on the representational side
– What was Reality1 is now Fantasy2
30. Discussion
• Most predictions were confirmed
• Processing was reduced when the reality-based narrative was
read first consistent with Bowdle & Gentner (1997)
• Systematicity differences on the representational side
– What was Reality1 is now Fantasy2
• To obtain asymmetries in similarity, a directional formulation was
needed inconsistent with Catrambone et al (1996)
31. Discussion
• Most predictions were confirmed
• Processing was reduced when the reality-based narrative was
read first consistent with Bowdle & Gentner (1997)
• Systematicity differences on the representational side
– What was Reality1 is now Fantasy2
• To obtain asymmetries in similarity, a directional formulation was
needed inconsistent with Catrambone et al (1996)
• Word count for FantasyFirst highest
32. Discussion
• Most predictions were confirmed
• Processing was reduced when the reality-based narrative was
read first consistent with Bowdle & Gentner (1997)
• Systematicity differences on the representational side
– What was Reality1 is now Fantasy2
• To obtain asymmetries in similarity, a directional formulation was
needed inconsistent with Catrambone et al (1996)
• Word count for FantasyFirst highest
• Fantasy-based narrative grounded in the reality-based narrative
33. Discussion
• Most predictions were confirmed
• Processing was reduced when the reality-based narrative was
read first consistent with Bowdle & Gentner (1997)
• Systematicity differences on the representational side
– What was Reality1 is now Fantasy2
• To obtain asymmetries in similarity, a directional formulation was
needed inconsistent with Catrambone et al (1996)
• Word count for FantasyFirst highest
• Fantasy-based narrative grounded in the reality-based narrative
• Regression analysis
34. Subjects read stories consistent with reality:
• eg, a wolf attacking a chicken
• eg, a friend attacking a teammate
Then performed a series of comparative judgments:
• Directional Similarity Judgment
• Directional Duration Judgment
• Segmentation of Narrative Event Structure
• Listing of Commonalities and Differences
Study 2: Reality vs Reality
35. Predictions
• Since both narratives were reality-based, matched on
representational systematicity, there will be less perceived
differences between the narratives
36. Predictions
• Since both narratives were reality-based, matched on
representational systematicity, there will be less perceived
differences between the narratives
• No matter which narrative was read first:
– Directional similarity should not differ, no asymmetries, mirror RealityFirst
37. Predictions
• Since both narratives were reality-based, matched on
representational systematicity, there will be less perceived
differences between the narratives
• No matter which narrative was read first:
– Directional similarity should not differ, no asymmetries, mirror RealityFirst
– Directional duration second always shorter than first, mirror RealityFirst
38. Predictions
• Since both narratives were reality-based, matched on
representational systematicity, there will be less perceived
differences between the narratives
• No matter which narrative was read first:
– Directional similarity should not differ, no asymmetries, mirror RealityFirst
– Directional duration second always shorter than first, mirror RealityFirst
– Segmentation should not differ, mirror RealityFirst
39. Predictions
• Since both narratives were reality-based, matched on
representational systematicity, there will be less perceived
differences between the narratives
• No matter which narrative was read first:
– Directional similarity should not differ, no asymmetries, mirror RealityFirst
– Directional duration second always shorter than first, mirror RealityFirst
– Segmentation should not differ, mirror RealityFirst
– Commonalities and differences should not differ, mirror RealityFirst
40. Predictions
• Since both narratives were reality-based, matched on
representational systematicity, there will be less perceived
differences between the narratives
• No matter which narrative was read first:
– Directional similarity should not differ, no asymmetries, mirror RealityFirst
– Directional duration second always shorter than first, mirror RealityFirst
– Segmentation should not differ, mirror RealityFirst
– Commonalities and differences should not differ, mirror RealityFirst
– Semantic overlap should increase between first narrative and statements
43. Discussion
• All predictions were confirmed
• Results for the comparative judgments mirrored RealityFirst
• “Counter-intuitive” result
– Reality1 both shorter and longer than Reality2
– Task seems shorter second time performed (Boltz, 1998)
– Familiar texts tax working memory less (Graesser & Clarke, 1985)
44. Discussion
• All predictions were confirmed
• Results for the comparative judgments mirrored RealityFirst
• “Counter-intuitive” result
– Reality1 both shorter and longer than Reality2
– Task seems shorter second time performed (Boltz, 1998)
– Familiar texts tax working memory less (Graesser & Clarke, 1985)
• First-read narrative source for commonalities/differences
45. Discussion
• All predictions were confirmed
• Results for the comparative judgments mirrored RealityFirst
• “Counter-intuitive” result
– Reality1 both shorter and longer than Reality2
– Task seems shorter second time performed (Boltz, 1998)
– Familiar texts tax working memory less (Graesser & Clarke, 1985)
• First-read narrative source for commonalities/differences
• Regression analysis
46. Subjects read stories inconsistent with reality:
• eg, book attacking a pencil
• eg, rolling pin attacking a spoon
Then performed a series of comparative judgments:
• Directional Similarity Judgment
• Directional Duration Judgment
• Segmentation of Narrative Event Structure
• Listing of Commonalities and Differences
Study 3: Fantasy vs Fantasy
47. Predictions
• Since both narratives were reality-based, matched on
representational systematicity, there will be less perceived
differences between the narratives
48. Predictions
• Since both narratives were reality-based, matched on
representational systematicity, there will be less perceived
differences between the narratives
• No matter which narrative was read first:
– Directional similarity should not differ, no asymmetries, differ FantasyFirst
49. Predictions
• Since both narratives were reality-based, matched on
representational systematicity, there will be less perceived
differences between the narratives
• No matter which narrative was read first:
– Directional similarity should not differ, no asymmetries, differ FantasyFirst
– Directional duration second always shorter than first, differ FantasyFirst
50. Predictions
• Since both narratives were reality-based, matched on
representational systematicity, there will be less perceived
differences between the narratives
• No matter which narrative was read first:
– Directional similarity should not differ, no asymmetries, differ FantasyFirst
– Directional duration second always shorter than first, differ FantasyFirst
– Segmentation should not differ, mirror FantasyFirst
51. Predictions
• Since both narratives were reality-based, matched on
representational systematicity, there will be less perceived
differences between the narratives
• No matter which narrative was read first:
– Directional similarity should not differ, no asymmetries, differ FantasyFirst
– Directional duration second always shorter than first, differ FantasyFirst
– Segmentation should not differ, mirror FantasyFirst
– Commonalities and differences should not differ, mirror FantasyFirst
52. Predictions
• Since both narratives were reality-based, matched on
representational systematicity, there will be less perceived
differences between the narratives
• No matter which narrative was read first:
– Directional similarity should not differ, no asymmetries, differ FantasyFirst
– Directional duration second always shorter than first, differ FantasyFirst
– Segmentation should not differ, mirror FantasyFirst
– Commonalities and differences should not differ, mirror FantasyFirst
– Semantic overlap should increase between first narrative and statements,
mirror Studies 2
54. Discussion
• All predictions were confirmed
• Results for the directional similarity and directional duration
comparative judgments mirrored RealityFirst
55. Discussion
• All predictions were confirmed
• Results for the directional similarity and directional duration
comparative judgments mirrored RealityFirst
• Results for the segmentation and commonalities and differences
mirrored FantasyFirst
56. Discussion
• All predictions were confirmed
• Results for the directional similarity and directional duration
comparative judgments mirrored RealityFirst
• Results for the segmentation and commonalities and differences
mirrored FantasyFirst
• First-read narrative source for commonalities/differences
57. Discussion
• All predictions were confirmed
• Results for the directional similarity and directional duration
comparative judgments mirrored RealityFirst
• Results for the segmentation and commonalities and differences
mirrored FantasyFirst
• First-read narrative source for commonalities/differences
• Regression analysis
59. Take Home
• RealityFirst reduced “processing demands” for second-read
fantasy-based narrative
• Structure lending has its limits for Studies 3
– Segmentation & commonalities and differences
60. Take Home
• RealityFirst reduced “processing demands” for second-read
fantasy-based narrative
• Structure lending has its limits for Studies 3
– Segmentation & commonalities and differences
• Source for commonalities/differences
– Studies 2 and 3 first-read narrative
– Study 1 reality-based narrative
61. Take Home
• RealityFirst reduced “processing demands” for second-read
fantasy-based narrative
• Structure lending has its limits for Studies 3
– Segmentation & commonalities and differences
• Source for commonalities/differences
– Studies 2 and 3 first-read narrative
– Study 1 reality-based narrative
• Highly similar narratives – but different situation models
– Situation model as crucial for representation of narrative (Kintsch, 1983)
62. Implications
• Original research on relationship between dependent variables
– First empirical demonstration correlation between participant generated
segmentation and duration
– First empirical demonstration of relations between similarity asymmetries
and commonalities/differences
63. Implications
• Original research on relationship between dependent variables
– First empirical demonstration correlation between participant generated
segmentation and duration
– First empirical demonstration of relations between similarity asymmetries
and commonalities/differences
• Systematicity manipulated “representationally”
– Not typical removal of key causal links
64. Implications
• Original research on relationship between dependent variables
– First empirical demonstration correlation between participant generated
segmentation and duration
– First empirical demonstration of relations between similarity asymmetries
and commonalities/differences
• Systematicity manipulated “representationally”
– Not typical removal of key causal links
• LSA Analysis
– Unique use of LSA to determine the “grounding” of the
commonalities/differences statements
65. Limitations & Future Research
• Narrative considerations
– All narratives involved the transformation of the inanimate into fantastical
animate
– Where the transformation occurred in the narrative
– Participant generated coherency ratings for narratives
66. Limitations & Future Research
• Narrative considerations
– All narratives involved the transformation of the inanimate into fantastical
animate.
– Where the transformation occurred in the narrative
– Participant generated coherency ratings for narratives
• Dependent Variable considerations
– Believability
– Expected behaviors
– Imagined feature listing
70. Structure Mapping, Systematicity and Similarity Asymmetries
Structure-Mapping
– Comparisons are the result of putting concepts into correspondence based
on the alignment of their structures
– One-to-one correspondences & parallel connectivity - Rutherford
“planetary model”
– Positive correlation between number of commonalities and the number of
alignable differences
Systematicity
– Refers to the mapping of systems of mutually constraining relations, such as
causal chains or chains of implication
Similarity Asymmetries
– North Korea is similar to Red China preferred Red China is similar to
North Korea
– Directional informativity hypothesis and base systematicity advantage
71. Retrospective Duration and Segmentation
Retrospective Duration Estimate
– Participants don’t know in advance that a temporal judgment will be made
– Participants use an availability heuristic, ie, the number segments that were
“passively” encoded during an interval to make a duration estimate
Segmentation
– Breakdown of events into chunks - automatic
– More segments during a new experience and this lengthens remembered
duration
– Less segments during a predictable experience and this shortens
remembered duration
– Less segmentation = shorter duration (Poynter, 1983)
72. Similarity and Duration
Similarity
• Similarity of the second story in relation to the first story
Duration
• Center vertical line = duration of the first story
• Draw a vertical line to = duration of the second story in relation
to the first story
• Greater distance from center vertical line = greater difference in
duration between two stories
73. Duration Comparison Coding
An Example
• Measure distance between existing vertical line and subject vertical line
• Subject distance/total distance + 1
• Eg, 12/120 + 1 = second story 90% duration of the first
• Two coders for each packet
12 mm
120 mm