This document discusses objectivity and subjectivity in social science research. It states that while objectivity aims for detached, unbiased research through methods like verstehen, complete objectivity is impossible when studying humans as social scientists themselves have subjective experiences and judgments. Subjectivity refers to personal impressions and opinions rather than external facts. Both objectivity and subjectivity are necessary for knowledge but there is an ongoing debate around the degree to which social science can or should be objective.
Observation Method is one of the methods for data collection. This method is very much applicable for ethnic research. Expert data collectors are essential to collect data through observation method..
Observation Method is one of the methods for data collection. This method is very much applicable for ethnic research. Expert data collectors are essential to collect data through observation method..
OBJECTIVITY IN SOCIAL SCIENCE RESEARCH Ruby Med Plus
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Objectivity is considered as an ideal for scientific inquiry, as a good reason for valuing scientific knowledge, and as the foundation of the authority of science in society. It expresses the thought that the claims, methods and results of science are not, or should not be influenced by particular perspectives, value commitments, community bias or personal interests, to name a few significant factors. Scientific objectivity is a feature of scientific claims, methods and results.
Inductive and Deductive Approach to Research. Difference between Inductive an...Rohan Byanjankar
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What is inductive and Deductive Approach to Research? The difference between Inductive and Deductive Reasoning to Research with clear example, figure and some major differences between them.
Ethnography is a Social science research method. It is the primary data collection method. It is mainly combined with social background. A qualitative approach that studies the cultural patterns and perspectives of participants in their natural setting.
Ethnography came from Greek, it identifies its roots in sociology and anthropology.
*Ethnos = People
*Graphing = Writing
âEthnography literally means âa portrait of a peopleâ. Ethnography is a written description of a particular culture, the custom, belief and behaviour based on information collected through field work.â (Harris and Johnson 2000).
OBJECTIVITY IN SOCIAL SCIENCE RESEARCH Ruby Med Plus
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Objectivity is considered as an ideal for scientific inquiry, as a good reason for valuing scientific knowledge, and as the foundation of the authority of science in society. It expresses the thought that the claims, methods and results of science are not, or should not be influenced by particular perspectives, value commitments, community bias or personal interests, to name a few significant factors. Scientific objectivity is a feature of scientific claims, methods and results.
Inductive and Deductive Approach to Research. Difference between Inductive an...Rohan Byanjankar
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What is inductive and Deductive Approach to Research? The difference between Inductive and Deductive Reasoning to Research with clear example, figure and some major differences between them.
Ethnography is a Social science research method. It is the primary data collection method. It is mainly combined with social background. A qualitative approach that studies the cultural patterns and perspectives of participants in their natural setting.
Ethnography came from Greek, it identifies its roots in sociology and anthropology.
*Ethnos = People
*Graphing = Writing
âEthnography literally means âa portrait of a peopleâ. Ethnography is a written description of a particular culture, the custom, belief and behaviour based on information collected through field work.â (Harris and Johnson 2000).
10 week lecture series on introducing counselling students to basics of research. Lecture series is based on Sanders & Wilkins (2010) First Steps in Practitioner Research PCCS books
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
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Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
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The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
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Dev Dives: Train smarter, not harder â active learning and UiPath LLMs for do...UiPathCommunity
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đĽ Speed, accuracy, and scaling â discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Miningâ˘:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing â with little to no training required
Get an exclusive demo of the new family of UiPath LLMs â GenAI models specialized for processing different types of documents and messages
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Speakers:
đ¨âđŤ Andras Palfi, Senior Product Manager, UiPath
đŠâđŤ Lenka Dulovicova, Product Program Manager, UiPath
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
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Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navyâs DevSecOps platform, Party Barge, has achieved:
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Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
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Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Welocme to ViralQR, your best QR code generator.ViralQR
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Welcome to ViralQR, your best QR code generator available on the market!
At ViralQR, we design static and dynamic QR codes. Our mission is to make business operations easier and customer engagement more powerful through the use of QR technology. Be it a small-scale business or a huge enterprise, our easy-to-use platform provides multiple choices that can be tailored according to your company's branding and marketing strategies.
Our Vision
We are here to make the process of creating QR codes easy and smooth, thus enhancing customer interaction and making business more fluid. We very strongly believe in the ability of QR codes to change the world for businesses in their interaction with customers and are set on making that technology accessible and usable far and wide.
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Ever since its inception, we have successfully served many clients by offering QR codes in their marketing, service delivery, and collection of feedback across various industries. Our platform has been recognized for its ease of use and amazing features, which helped a business to make QR codes.
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Pricing and Packages
Additionally, there is a 14-day free offer to ViralQR, which is an exceptional opportunity for new users to take a feel of this platform. One can easily subscribe from there and experience the full dynamic of using QR codes. The subscription plans are not only meant for business; they are priced very flexibly so that literally every business could afford to benefit from our service.
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Subscribers of ViralQR receive detailed analytics and tracking tools in light of having a view of the core values of QR code performance. Our analytics dashboard shows aggregate views and unique views, as well as detailed information about each impression, including time, device, browser, and estimated location by city and country.
So, thank you for choosing ViralQR; we have an offer of nothing but the best in terms of QR code services to meet business diversity!
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
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Are you looking to streamline your workflows and boost your projectsâ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, youâre in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part âEssentials of Automationâ series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Hereâs what youâll gain:
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Weâll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Donât miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
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Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
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Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
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The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
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Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
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Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
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SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
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Building better applications for business users with SAP Fiori.
⢠What is SAP Fiori and why it matters to you
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⢠How SAP Fiori paves the way for using AI in SAP apps
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
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Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
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Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
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Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
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Monitoring and observability arenât traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current companyâs observability stack.
While the dev and ops silo continues to crumbleâŚ.many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
2. ⢠Research is an integral part of not only academia but society as well
⢠Academic research is what allows individuals to understand the world in a factual
sense. Data provides us with facts and these facts structure the world we live in.
⢠Society and every aspect of it has been studied for decades now and researchers
have come up with an array of new methods to accomplish this.
⢠As society progressed civilisation moved from a society centred around religious
governance to one rooted around science.
⢠Sociologists wanted to study human behaviour the same way in which natural
sciences were studied- thus the emergence of positivism. This is where
objectivity and subjectivity become important.
3. ⢠According to science, one must conduct research âobjectivelyâ to avoid bias and
arrive at the truth.
⢠However, as humans are inherently subjective creatures it is not possible to study
them in the same way sciences are studied.
⢠What makes someone human is their ability to think, feel, act and react.
Oftentimes the discourse surrounding this topic boils down to this question: Is
reality represented in individualsâ perceptions or is reality something external to
them?
⢠The topic of subjectivity and objectivity in social sciences is a grey area that must
be discussed.
4. ⢠The fact/value dichotomy is reinforced by the objective/subjective dichotomy.
⢠Science deals with facts; it is objective.
⢠Ethics deals with preferences; it is subjective.
5. BETWEEN THE TWO
⢠Objectivity is the perception or experience of the external; subjectivity is the
perception or experience of the internal.
⢠Subjectivity and objectivity are both necessary pathways to knowledge and are
dependent on each other.
6. OBJECTIVITY
⢠An approach in which attitude of an investigator is detached, unprejudiced, value
free and free from biases.
⢠It focuses upon a goal or the object and avoids distractions.
⢠Objectivity means that conclusions arrived at as a result of inquiry and
investigation are independent of the race, colour, occupation, religion, moral
preferences and political predisposition of the investigator
⢠Hence, objectivity pre-supposes value neutrality and predictability about
outcome.
7. ⢠Eg: Use of scientific methods like Verstehen.
⢠Since Sociological Investigation involves multiple stages, objectivity is required in
all those stages â Choice of topic and problem, Collection of facts, interpretation
of facts and formulation of theories.
⢠Proponents of objectivity earlier argued that sociologists should refrain from
entering into questions of what ought to be but instead focus on explaining what
is.
8. OBJECTIVITYâŚ.
⢠Objectivity is personal neutrality; it allows the facts to speak for themselves and
not be influenced by the personal values and biases of the researcher. (Macionis,
20).
⢠It can also be interpreted as mind-independent, because it is information that is
not being altered based on an opinion. (âProof that Reality is Mind-Independentâ).
⢠For example, when looking at a painting, a person would use objectivity to
describe the texture, color, and form. These are all facts that are common and can
not be changed.
9. ⢠In an objective study, the researcherâs mental state has no bearing on the study,
and the subject matter is observed in its proper context, regardless of the
researcherâs mental state.
⢠When an observer is an objective, they are not swayed by their own personal
feelings or opinions.
⢠The ability to perceive and accept facts as they are without being swayed by
popular belief, popular perception, or oneâs own desires is what it means to be
objective.
10. ⢠So that the biases, preferences, or predictions of social scientists are not reflected
in collecting data,
⢠objectivity is a âframe of mind.â
⢠The scientific study may only be described as objective if it is free of ideological
prejudices based on race, ethnicity, religion, or gender.
⢠In social science research, the need for objectivity has been highlighted by all
major sociologists. ?
11. ⢠sociologists are expected to recognise and admit their own values and overcome
their personal prejudices.
⢠On the other hand, Gunnar Myrdal believed that complete objectivity is an
impossible ideal to attain.
12. FACTORS AFFECTING OBJECTIVITY
⢠(a) personal prejudices and bias,
⢠(b) value judgement,
⢠(c) ethical dilemma and
⢠(d) complexity of social phenomena
13. LIMITS OF OBJECTIVITY IN SOCIAL SCIENCES
⢠Limits of objectivity in social sciences Objectivity in social science research has
certain limitations, they are:
⢠a) Social scientist is part of human society and their judgements are subjective
and coloured by researchers own experience.
⢠b) The subject matter of social science research is too complex.
⢠All propositions are limited particular social groups and contexts.
⢠Thus objectivity in a major issue in social science research.
14. ⢠c) All members of the society have different values, social researcher will
unconsciously influenced by their values.
⢠d) Social scientist fails to achieve objectivity because the respondents are human
beings have certain human problems.e.g. refusal of respondent, improper
understanding, reluctance etc,.
⢠All these problems cause biases and invalidate the research findings and
conclusions.
15. SUBJECTIVITY
⢠Subjectivity is judgment based on individual personal impressions and feelings
and opinions rather than external facts.
⢠This can be considered mind-dependent, because one is not using a fact, they are
using their personal opinion. (âProof that Reality is Mind-Independentâ).
⢠For example, if your favorite color is blue, then you are more likely to buy a blue
sweater versus a purple sweater.
16. ⢠To be objective, a researcher must not allow their values, their bias or their views
to impact on their research, analysis or findings.
⢠For research to be reliable and to be considered scientific, objectivity is
paramount.
⢠However, some question whether sociology can ever be entirely objective, as
researchers' views and values are likely to affect their choice of topic.
⢠Weber argued that while sociologists should be interested in the subjective views
of their subjects, they should remain objective in their research; others (such as
postmodernists) argue that objectivity is impossible at all stages of research.
17. ⢠Objectivity means basing conclusion on facts without any bias and value
judgement.
⢠The conclusion should be independent of oneâs personal beliefs, likes dislikes and
hopes.
⢠Both the data and the inference drawn from their analysis must be free from bias
and prejudices.
⢠But modern feminist researchers and critical social researchers argued research is
a moral-political activity that requires the researcher to commit to a value
position.
⢠Value freedom is a myth.