scholarly journals My objectivity is better than yours: contextualising debates about gender inequality

Synthese ◽  
2020 ◽  
Author(s):  
Rosie Worsdale ◽  
Jack Wright
Keyword(s):  
Gender Inequality ◽  
Gender Gap ◽  
Social Research ◽  
Social Scientists ◽  
Methodological Choices ◽  
Systematic Biases ◽  
The Many ◽  
Epistemic Modesty ◽  
Better Than ◽  
Global Gender Gap Index

Absract In this paper, we contribute to a growing literature in the philosophy of social science cautioning social scientists against context-independent claims to objectivity, by analyzing the recent proposal of a new Basic Index of Gender Inequality (BIGI) by Gijsbert Stoet and David Geary. Despite the many internal problems with BIGI, Stoet and Geary have had some success in positioning the index as an important corrective to the way in which gender inequality is measured in mainstream metrics like the Global Gender Gap Index (GGGI). We argue that this success is facilitated at least in part by the failure of GGGI’s proponents to adequately justify the methodological choices underpinning the index in relation to the context in which the index’s findings are intended to be used. In so doing, the authors of GGGI oversell the objectivity of the metric’s assessment of the state of global gender inequality—and it is this overselling that allows Stoet and Geary to present BIGI as a metric that corrects what they claim are systematic biases within GGGI. The case of BIGI and GGGI, we argue, suggests that the kind of epistemic modesty exhibited by recent operational approaches to objectivity is particularly important for social research on highly politically contested topics.

scholarly journals Gender Inequality in Pakistan Caused by Domestic Factors and Conflict Resolving Based on CEDAW

2020 ◽  
Vol 3 (2) ◽  
pp. 240-257
Author(s):  
Dewi Masitoh ◽  
Firdha Ayu Pramesti
Keyword(s):  
International Law ◽  
Gender Inequality ◽  
Gender Gap ◽  
Secondary Data ◽  
Theoretical Frameworks ◽  
Women's Participation ◽  
The World ◽  
Long Time ◽  
World Economic ◽  
Global Gender Gap Index

Gender inequality in Pakistan has been going for a long time from year to year. This can be evidenced by the results of a report from The Global Gender Gap Index in 2018 that was released by the World Economic Forum (WEF), Pakistan was the second worst country in the world in terms of gender equality, especially for the treatment of women, which ranks 148th out of 149 country. The aims of research are women’s participation is needed in a country by guaranteeing their freedom and welfare of state. If the lack of women's participation will be one of the roots of socio-economic and demographic problems that have been experienced by Pakistan until today. This research will use qualitative research methods, that emphasize the observation and understanding of a social phenomenon, where data is collected through secondary data and literature review. This research will use two theoretical frameworks, they are: Feminism and Human Rights. The main finding of the research was found in detail about how the problem of gender inequality in Pakistan; the reasons of gender inequality has been going on for a long time; and how about the conflict resolving from Pakistan Government based on International Law.

Reverse mediations: digital methods of social research for digital citizenship

2015 ◽  
Vol 23 ◽  
Author(s):  
Marina Pantoja Boechat ◽  
Débora De Carvalho Pereira
Keyword(s):  
Information Technologies ◽  
Social Research ◽  
Social Reality ◽  
Digital Citizenship ◽  
Social Analysis ◽  
Hegemonic Discourse ◽  
Methods Of Social Research ◽  
Digital Methods ◽  
The Many

Our society is heavily mediated by information technologies, so the simplest interactions become traceable, which collaborates to a deluge of data. They represent an abundant source for social analysis and an unparalleled opportunity for citizens to access, produce and disseminate information. Nevertheless, all this affluence of data, for presenting itself in a scattered way, also poses significant difficulties for achieving an integrated view of social reality and its interactions, and is organized in many competing interfaces and information architectures, that may produce, reinforce and disseminate ideologies, hegemonic discourse and platform biases. We identify an emerging field of dispute of the place of mediation of the many flows of information, and efforts for repurposing and restructuring these flows over the seamless structuring of different competing architectures. In order to describe some of these efforts, we draw examples from the field of controversy mapping, and propose the concept of reverse mediation.

Using Motion Detection to Measure Social Polarization in the U.S. House of Representatives

2020 ◽  
pp. 1-10
Author(s):  
Bryce J. Dietrich
Keyword(s):  
Motion Detection ◽  
House Of Representatives ◽  
Social Science Research ◽  
Image Data ◽  
Science Research ◽  
Video Data ◽  
Social Scientists ◽  
Wide Range ◽  
Party Voting ◽  
The Many

Abstract Although previous scholars have used image data to answer important political science questions, less attention has been paid to video-based measures. In this study, I use motion detection to understand the extent to which members of Congress (MCs) literally cross the aisle, but motion detection can be used to study a wide range of political phenomena, like protests, political speeches, campaign events, or oral arguments. I find not only are Democrats and Republicans less willing to literally cross the aisle, but this behavior is also predictive of future party voting, even when previous party voting is included as a control. However, this is one of the many ways motion detection can be used by social scientists. In this way, the present study is not the end, but the beginning of an important new line of research in which video data is more actively used in social science research.

Why they shared: recovering early arguments for sharing social scientific data

2020 ◽  
Vol 33 (2) ◽  
pp. 101-119
Author(s):  
Emily Hauptmann
Keyword(s):  
Social Science ◽  
Data Sharing ◽  
Financial Stability ◽  
Social Research ◽  
Scientific Data ◽  
Social Scientists ◽  
Ethical Imperative ◽  
Social Scientific ◽  
The University ◽  
University Consortium

ArgumentMost social scientists today think of data sharing as an ethical imperative essential to making social science more transparent, verifiable, and replicable. But what moved the architects of some of the U.S.’s first university-based social scientific research institutions, the University of Michigan’s Institute for Social Research (ISR), and its spin-off, the Inter-university Consortium for Political and Social Research (ICPSR), to share their data? Relying primarily on archived records, unpublished personal papers, and oral histories, I show that Angus Campbell, Warren Miller, Philip Converse, and others understood sharing data not as an ethical imperative intrinsic to social science but as a useful means to the diverse ends of financial stability, scholarly and institutional autonomy, and epistemological reproduction. I conclude that data sharing must be evaluated not only on the basis of the scientific ideals its supporters affirm, but also on the professional objectives it serves.

scholarly journals The effect of language on performance: do gendered languages fail women in maths?

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Tamar Kricheli-Katz ◽  
Tali Regev
Keyword(s):  
Language Proficiency ◽  
Gender Inequality ◽  
Gender Gap ◽  
Adult Population ◽  
Ongoing Debate ◽  
The Feminine ◽  
Hebrew Language ◽  
The Relationship ◽  
Large Representative ◽  
And Task

AbstractResearch suggests that gendered languages are associated with gender inequality. However, as languages are embedded in cultures, evidence for causal effects are harder to provide. We contribute to this ongoing debate by exploring the relationship between gendered languages and the gender gap in mathematics achievements. We provide evidence for causality by exploiting the prominent (but not exclusive) practice in gendered languages of using masculine generics to address women. In an experiment on a large representative sample of the Hebrew-speaking adult population in Israel, we show that addressing women in the feminine, compared to addressing them in the masculine, reduces the gender gap in mathematics achievements by a third. These effects are stronger among participants who acquired the Hebrew language early in childhood rather than later in life, suggesting that it is the extent of language proficiency that generates one’s sensitivity to being addressed in the masculine or in the feminine. Moreover, when women are addressed in the masculine, their efforts (in terms of time spent on the maths test) decrease and they report feeling that “science is for men” more than when addressed in the feminine. We supplement the analysis with two experiments that explore the roles of general and task-specific stereotypes in generating these effects.

scholarly journals Gender inequality in COVID-19 times: evidence from UK prolific participants

2021 ◽  
pp. 1-27
Author(s):  
Sonia Oreffice ◽  
Climent Quintana-Domeque
Keyword(s):  
Mental Health ◽  
Gender Inequality ◽  
Gender Gap ◽  
Gender Gaps ◽  
Health Concerns ◽  
Unemployment Rates ◽  
Future State ◽  
Multiple Dimensions ◽  
The Difference ◽  
The Uk

Abstract We investigate gender differences across multiple dimensions after 3 months of the first UK lockdown of March 2020, using an online sample of approximately 1,500 Prolific respondents’ residents in the UK. We find that women's mental health was worse than men along the four metrics we collected data on, that women were more concerned about getting and spreading the virus, and that women perceived the virus as more prevalent and lethal than men did. Women were also more likely to expect a new lockdown or virus outbreak by the end of 2020, and were more pessimistic about the contemporaneous and future state of the UK economy, as measured by their forecasted contemporaneous and future unemployment rates. We also show that between earlier in 2020 before the outbreak of the Coronavirus pandemic and June 2020, women had increased childcare and housework more than men. Neither the gender gaps in COVID-19-related health and economic concerns nor the gender gaps in the increase in hours of childcare and housework can be accounted for by a rich set of control variables. Instead, we find that the gender gap in mental health can be partially accounted for by the difference in COVID-19-related health concerns between men and women.

Digital Native Students

2017 ◽  
Vol 7 (2) ◽  
pp. 13-26 ◽  
Author(s):  
Su-Ting Yong
Keyword(s):  
Gender Gap ◽  
Computer Games ◽  
Qualitative Interviews ◽  
Mathematics Learning ◽  
Spatial Abilities ◽  
Native Students ◽  
Digital Native ◽  
Spatial Skills ◽  
And Mathematics ◽  
The Many

The purpose of this study was to explore gender differences among digital native students in mathematics learning and gaming. A quantitative dominant mixed methods approach was employed in which quantitative surveys [174 students] and qualitative interviews [eight students, eight parents and six teachers] were administered concurrently. Data collected has revealed that students are characterized as digital natives and do not portray a significant gender gap in technology usage. Nevertheless, males and females tend to demonstrate their digital native characteristics differently. Males are more likely to play computer games and acknowledge the many benefits of gaming. Moreover, boys have better spatial skills and they are more confident in mathematics. While females still lag behind males in spatial abilities and mathematics confidence in the past, digital native females are not helping to close the gender gap. Essentially, girls could play more computer games to strengthen their spatial abilities.

Development of a Single-Code/Default Coding Strategy in Pigeons

2000 ◽  
Vol 11 (3) ◽  
pp. 261-264 ◽  
Author(s):  
Tricia S. Clement ◽  
Thomas R. Zentall
Keyword(s):  
Conditional Discrimination ◽  
The Other ◽  
Matching Accuracy ◽  
Efficient Coding ◽  
Coding Strategy ◽  
One To One ◽  
Retention Intervals ◽  
The Many ◽  
The One ◽  
Better Than

We tested the hypothesis that pigeons could use a cognitively efficient coding strategy by training them on a conditional discrimination (delayed symbolic matching) in which one alternative was correct following the presentation of one sample (one-to-one), whereas the other alternative was correct following the presentation of any one of four other samples (many-to-one). When retention intervals of different durations were inserted between the offset of the sample and the onset of the choice stimuli, divergent retention functions were found. With increasing retention interval, matching accuracy on trials involving any of the many-to-one samples was increasingly better than matching accuracy on trials involving the one-to-one sample. Furthermore, following this test, pigeons treated a novel sample as if it had been one of the many-to-one samples. The data suggest that rather than learning each of the five sample-comparison associations independently, the pigeons developed a cognitively efficient single-code/default coding strategy.

Sign in / Sign up

Export Citation Format

Share Document