The document discusses gender differences in social behavior and their underlying sources. It notes that from birth, infants are classified as male or female and treated differently by society based on gender. It then outlines several key gender differences in areas like emotional expression, social influence, leadership evaluations, aggression, friendship, and mate selection/sexuality. These differences are attributed both to biological factors like prenatal hormone exposure and brain differences, as well as social/environmental factors like gendered parenting, toys, media portrayals, and societal expectations.
ReadySetPresent (Gender Differences PowerPoint Presentation Content): 100+ PowerPoint presentation content slides. Misinterpreting gender differences can be potentially disastrous. However, understanding them, can lead to a harmonious environment both at work and at home. Gender Differences PowerPoint Presentation Content slides include topics such as: highlighting Gender and Communication Differences, how to avoid pitfalls, 6 common areas of miscommunication between genders, 6 slides on negotiation and gender, 10 slides on biological brain and health differences, 25+ slides on strengths of genders with facts and trivia, 15+ slides on managing and accommodating different genders and moving past stereotypes, 4 slides on the Parson’s model, 9 slides on women working with men, 8 slides on men working with women, and 6 slides on females in business, 10 slides on common misunderstandings and communication between spouses, interesting gender statistics and more!
Cognitive schemas can result in stereotypes and contribute to prejudice.
Stereotypes Stereotypes are beliefs about people based on their membership in a particular group. Stereotypes can be positive, negative, or neutral. Stereotypes based on gender, ethnicity, or occupation are common in many societies.
Then Prejudice has been discussed
ReadySetPresent (Gender Differences PowerPoint Presentation Content): 100+ PowerPoint presentation content slides. Misinterpreting gender differences can be potentially disastrous. However, understanding them, can lead to a harmonious environment both at work and at home. Gender Differences PowerPoint Presentation Content slides include topics such as: highlighting Gender and Communication Differences, how to avoid pitfalls, 6 common areas of miscommunication between genders, 6 slides on negotiation and gender, 10 slides on biological brain and health differences, 25+ slides on strengths of genders with facts and trivia, 15+ slides on managing and accommodating different genders and moving past stereotypes, 4 slides on the Parson’s model, 9 slides on women working with men, 8 slides on men working with women, and 6 slides on females in business, 10 slides on common misunderstandings and communication between spouses, interesting gender statistics and more!
Cognitive schemas can result in stereotypes and contribute to prejudice.
Stereotypes Stereotypes are beliefs about people based on their membership in a particular group. Stereotypes can be positive, negative, or neutral. Stereotypes based on gender, ethnicity, or occupation are common in many societies.
Then Prejudice has been discussed
Prosocial behavior, or intent to benefit others, is a social behavior that "benefit other people or society as a whole","such as helping, sharing, donating, co-operating, and volunteering". Obeying the rules and conforming to socially accepted behaviors (such as stopping at a "Stop" sign or paying for groceries) are also regarded as prosocial behaviors. These actions may be motivated by empathy and by concern about the welfare and rights of others, as well as for egoistic or practical concerns, such as one's social status or reputation, hope for direct or indirect reciprocity, or adherence to one's perceived system of fairness. It may also be motivated by altruism, though the existence of pure altruism is somewhat disputed, and some have argued that this falls into philosophical rather than psychological realm of debate. Evidence suggests that pro sociality is central to the well-being of social groups across a range of scales, including schools. Prosocial behavior in the classroom can have a significant impact on a student's motivation for learning and contributions to the classroom and larger community. In the workplace, prosocial behaviour can have a significant impact on team psychological safety, as well as positive indirect effects on employee's helping behaviors and task performance. Empathy is a strong motive in eliciting prosocial behavior, and has deep evolutionary roots.
Prosocial behavior fosters positive traits that are beneficial for children and society. It helps many beneficial functions by bettering production of any league and its organizational scale. Evolutionary psychologists use theories such as kin-selection theory and inclusive fitness as an explanation for why prosocial behavioral tendencies are passed down generationally, according to the evolutionary fitness displayed by those who engaged in prosocial acts. Encouraging prosocial behavior may also require decreasing or eliminating undesirable social behaviors.
Although the term "prosocial behavior" is often associated with developing desirable traits in children, the literature on the topic has grown since the late 1980s to include adult behaviors as well. The term "prosocial" has grown into a world-wide movement, using evolutionary science to create real-world pro-social changes from working groups to our whole culture.
Introduction to Social Psychology
I used local and foreign books. Some concepts are not mentioned here in my slides but will be discussed during our session.
If you want to know the resources feel free to comment below.
According to psychologist Gordon Allport, social psychology is a discipline that uses scientific methods "to understand and explain how the thought, feeling and behavior of individuals are influenced by the actual, imagined or implied presence of other human beings" (1985).
Briefly this field has been discussed.
Prosocial behavior, or intent to benefit others, is a social behavior that "benefit other people or society as a whole","such as helping, sharing, donating, co-operating, and volunteering". Obeying the rules and conforming to socially accepted behaviors (such as stopping at a "Stop" sign or paying for groceries) are also regarded as prosocial behaviors. These actions may be motivated by empathy and by concern about the welfare and rights of others, as well as for egoistic or practical concerns, such as one's social status or reputation, hope for direct or indirect reciprocity, or adherence to one's perceived system of fairness. It may also be motivated by altruism, though the existence of pure altruism is somewhat disputed, and some have argued that this falls into philosophical rather than psychological realm of debate. Evidence suggests that pro sociality is central to the well-being of social groups across a range of scales, including schools. Prosocial behavior in the classroom can have a significant impact on a student's motivation for learning and contributions to the classroom and larger community. In the workplace, prosocial behaviour can have a significant impact on team psychological safety, as well as positive indirect effects on employee's helping behaviors and task performance. Empathy is a strong motive in eliciting prosocial behavior, and has deep evolutionary roots.
Prosocial behavior fosters positive traits that are beneficial for children and society. It helps many beneficial functions by bettering production of any league and its organizational scale. Evolutionary psychologists use theories such as kin-selection theory and inclusive fitness as an explanation for why prosocial behavioral tendencies are passed down generationally, according to the evolutionary fitness displayed by those who engaged in prosocial acts. Encouraging prosocial behavior may also require decreasing or eliminating undesirable social behaviors.
Although the term "prosocial behavior" is often associated with developing desirable traits in children, the literature on the topic has grown since the late 1980s to include adult behaviors as well. The term "prosocial" has grown into a world-wide movement, using evolutionary science to create real-world pro-social changes from working groups to our whole culture.
Introduction to Social Psychology
I used local and foreign books. Some concepts are not mentioned here in my slides but will be discussed during our session.
If you want to know the resources feel free to comment below.
According to psychologist Gordon Allport, social psychology is a discipline that uses scientific methods "to understand and explain how the thought, feeling and behavior of individuals are influenced by the actual, imagined or implied presence of other human beings" (1985).
Briefly this field has been discussed.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t 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 company’s observability stack.
While the dev and ops silo continues to crumble….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:
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
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:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
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.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
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
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
2. • Infants are classified as male or female at birth.
From this moment on, their sexual identity plays
an important role in the way they are treated by
society.
• Difference bt sex and gender:
• Sex refers to sexual behaviour
• Gender refers to the sense of maleness or
femaleness related to our membership in a
given society
3. GENDER DIFFERENCES IN SOCIAL
BEHAVIOUR
• Traits like sensitivity and nurturance are
attributed to females and aggressiveness and
dominance are attributed to males
(Eagly, 1987; Friedman & Zebrowitz, 1992).
4. GENDER DIFFERENCES IN SOCIAL
BEHAVIOUR
• 1. EMOTIONAL EXPRESSION: SENDING AND
RECEIVING NON-VERBAL CUES
• Non-verbal Cues – facial expression, eye
contact, body posture or movements, tone of
speech, dressing style, etc.
5. GENDER DIFFERENCES IN SOCIAL
BEHAVIOUR
• 1. EMOTIONAL EXPRESSION: SENDING AND
RECEIVING NON-VERBAL CUES
• Females are generally better at both sending
and receiving non-verbal cues than males (Dik
Browne, 1984; DePaulo, 1992; Rosenthal &
DePaulo, 1979).
• In social situations females know what to
expect from others and hence they do not get
surprised by other’s behaviour
6. GENDER DIFFERENCES IN SOCIAL
BEHAVIOUR
• 2. EMOTIONAL EXPRESSION: THE CRYING
GAME (Hindustan Times Sunday
Magazine, March 6, 2011)
• Gwyneth Paltrow went in for full-on
sobbing, giving effusive thanks to an endless
list of people, hot tears running down.
• Julia Roberts, Sandra Bullock, etc….
7. GENDER DIFFERENCES IN SOCIAL
BEHAVIOUR
• 2. EMOTIONAL EXPRESSION: THE CRYING GAME
(Hindustan Times Sunday Magazine, March
6, 2011)
• Reasons…
• Social conditioning – women are brought up to
believe that it is all right to cry to express
emotion, be it joy, sorrow or pain.
• Men, on the other hand, are brought up to regard
crying as a mark of weakness, something that
they must never be seen doing.
8. GENDER DIFFERENCES IN SOCIAL
BEHAVIOUR
• 3. SOCIAL INFLUENCE: EVALUATION FEEDBACK
• Males tend to view situations in which they
receive feedback on their performance as
competitive ones. As a result, they view such
feedback with skepticism.
• In contrast, females view such situations as
leading opportunities and therefore pay
greater attention to the feedback they receive
(Roberts, 1993).
9. GENDER DIFFERENCES IN SOCIAL
BEHAVIOUR
• 4. LEADERSHIP: PERFORMANCE AND EVALUATIONS
• Males and females differ but in smaller magnitude
• Research studies suggest that female leaders often
receive lower ratings than male leaders, even when
their performance is the same. This finding is
especially strong in situations where the raters are
males.
• Female leaders face disadvantage in social settings.
10. GENDER DIFFERENCES IN SOCIAL
BEHAVIOUR
• 5. AGGRESSION: WHAT KIND AND HOW MUCH
• Gender stereotypes and crime statistics
support the view that males are more
aggressive than females.
• Females use indirect mode of aggression than
males. This difference increases with age and
girl’s growing cognitive skills. The reason can
be they are generally smaller in size and
physical strength (Bjorkqvist, Lagerspetz, &
Kaukiainen, 1992).
11. GENDER DIFFERENCES IN SOCIAL
BEHAVIOUR
• 6. FRIENDSHIP: ARE FEMALE FRIENDSHIPS
MORE INTENSE AND BENEFICIAL
• Females and males make intense friendships
and females find more satisfaction in
friendships than males.
12. MATE
SELECTION, RELATIONSHIPS, AND
•
SEXUALITY
1. MATE SELECTION:
• Ads by females: young, physically attractive; is
seeking a partner who has wealth and high status
and who is interested in serious relationship.
• Ads by males: has high status (in
education, profession and wealth); is seeking a
partner who is young and attractive.
• Males and females adopt contrasting strategies
because they invest different amounts of
resources in their offspring.
13. MATE
SELECTION, RELATIONSHIPS, AND
SEXUALITY
• 2. RELATIONSHIPS:
• Both the genders show high correlation
towards long-term relationships
(e.g., marriage).
• With regard to one-night stand, males show
low correlation. It means males seem to
accept wide range of partners in this context
(Kenrick, 1993).
14. MATE
SELECTION, RELATIONSHIPS, AND
• 3. SEXUALITY:
SEXUALITY
• Females and males differ to some extent with
regard to their sexual attitudes and sexual
behaviour.
• Males are more accepting of casual sexual
encounters and express more permissive
attitudes towards extramarital sex.
• Males report a higher incidence of
masturbation, a greater incidence of
intercourse, and more partners (Oliver and
Hyde, 1993).
15. BIOLOGICAL BASIS OF GENDER
DIFFERENCES
• 1. HORMONES:
• During prenatal development – key role
• Biological sex determined by sex
chromosomes – XX or XY.
• Embryos until about 8 to 12 weeks.
• Gonads (sex glands) produce androgens
• John Money and colleagues (1972) exposed
small number of females to high levels of
androgens during their pregnancy.
16. BIOLOGICAL BASIS OF GENDER
DIFFERENCES
• 1. HORMONES:
• Girls born to these females were with
masculinized genitals, the degree varied.
• These girls showed interest in outdoor
activities, preferred male playmates and male
toys.
17. SOURCES OF GENDER DIFFERENCES
• Sex is biological variable – BIOLOGICAL
FACTORS
• After birth ppl are treated differently based on
their sex – SOCIETAL FACTORS
• Both these factors should be considered.
18. SOURCES OF GENDER DIFFERENCES
• BIOLOGICAL FACTORS:
• Do differences between males and female
brains underlie sex and gender differences? –
some of the neuropsychologists asked.
• Exposure to the male hormones affected the
development of girls’ brains, making them
favour toys that involve certain kinds of skills.
19. SOURCES OF GENDER DIFFERENCES
• BIOLOGICAL FACTORS:
• For eg., girls who were exposed before birth to
unusually high levels of androgen, male
hormones, because their mothers accidentally
took a drug containing the hormone during
pregnant, preferred different toys
stereotypically preferred by boys (such as cars)
and less likely to play with toys stereotypically
associated with girls (such as dolls).
20. SOURCES OF GENDER DIFFERENCES
• BIOLOGICAL FACTORS:
• Similarly, some evidence suggests that women
perform better on tasks involving verbal skill
and muscular coordination when their
production of female sex
hormone, estrogen, is relatively
high, compared with when it is low.
• In contrast, they perform better on talks
involving spatial relationships when their
estrogen level is relatively low (Kimura &
Hampson, 1988; Kimura, 1999).
21. SOURCES OF GENDER DIFFERENCES
• BIOLOGICAL FACTORS:
• Some psychologists take evolutionary
approach to explain it.
• David Buss and colleagues (1992) point to
differences in nature of jealousy between men
and women.
• They found that men were more jealous in
cases of actual sexual infidelity, as apposed to
emotional infidelity in which there was
emotional attachment to another man but no
actual sexual infidelity.
22. SOURCES OF GENDER DIFFERENCES
• BIOLOGICAL FACTORS:
• They found that men were more jealous in
cases of actual sexual infidelity, as apposed to
emotional infidelity in which there was
emotional attachment to another man but no
actual sexual infidelity.
• In contrast, women were more jealous in
cases of emotional infidelity rather than
sexual infidelity.
23. SOURCES OF GENDER DIFFERENCES
• BIOLOGICAL FACTORS:
• The root cause of this controversial
explanation lies in evolutionary implications of
sexual infidelity for men and women.
• For men – sexual infidelity means their
children are not their own, not inherited their
genes. This makes them more upset compared
to emotional infidelity.
24. SOURCES OF GENDER DIFFERENCES
• BIOLOGICAL FACTORS:
• For women – they know their children are
their own, nurtured in their womb. Their main
concern is involving male in child rearing. So
males emotional attachment is more crucial
for them.
25. SOURCES OF GENDER DIFFERENCES
• SOCIAL FACTORS:
• From birth – boys with blue blankets and girls
with pink ones.
• Different kinds of toys are given
• Parents treat children differently according to
their sex.
• Fathers play roughly with boys than with girls.
Mothers talk more to girls than with boys.
(Jacklin & Reynolds, 1993)
26. SOURCES OF GENDER DIFFERENCES
• SOCIAL FACTORS:
• Social learning theory – boys and girls are
taught, and rewarded for
performing, behaviours that are perceived by
society as being appropriate for men or for
women, respectively (Philpot, 2000).
• Even the society shows this gender
differences: in novels (girls as nurturing and
boys in physical and action-oriented roles) and
TV