scholarly journals Do Women Get Fewer Votes? No.

2018 ◽  
Vol 52 (1) ◽  
pp. 201-210 ◽  
Author(s):  
Semra Sevi ◽  
Vincent Arel-Bundock ◽  
André Blais
Keyword(s):  
Political Parties ◽  
Gender Gap ◽  
Time Trends ◽  
Large Data ◽  
Study Data ◽  
Data Set ◽  
Men And Women ◽  
Women Candidates ◽  
Percentage Points ◽  
The Difference

AbstractWe study data on the gender of more than 21,000 unique candidates in all Canadian federal elections since 1921, when the first women ran for seats in Parliament. This large data set allows us to compute precise estimates of the difference in the electoral fortunes of men and women candidates. When accounting for party effects and time trends, we find that the difference between the vote shares of men and women is substantively negligible (±0.5 percentage point). This gender gap was larger in the 1920s (±2.5 percentage points), but it is now statistically indistinguishable from zero. Our results have important normative implications: political parties should recruit and promote more women candidates because they remain underrepresented in Canadian politics and because they do not suffer from a substantial electoral penalty.

scholarly journals Do women get fewer votes? No.

2018 ◽  
Author(s):  
Semra Sevi ◽  
Vincent Arel-Bundock ◽  
André Blais
Keyword(s):  
Political Parties ◽  
Gender Gap ◽  
Time Trends ◽  
Study Data ◽  
Large Dataset ◽  
Men And Women ◽  
Women Candidates ◽  
Percentage Points ◽  
Canadian Politics ◽  
The Difference

We study data on the gender of over 21,000 unique candidates in all Canadian federal elections since 1921, when the first women ran for seats in Parliament. This large dataset allows us to compute precise estimates of the difference in the electoral fortunes of men and women candidates. When accounting for party effects and time trends, we find that the difference between the vote shares of men and women is substantively negligible (±0.5 percentage point). This gender gap was larger in the 1920s (±2.5 percentage points), but it is now statistically indistinguishable from zero. Our results have important normative implications: Political parties should recruit and promote more women candidates, because they remain under-represented in Canadian politics, and because they do not suffer from a substantial electoral penalty.

Women and Entrepreneurship – Albanian Case

2016 ◽  
Vol 1 (1) ◽  
pp. 249
Author(s):  
Anna Xheka
Keyword(s):  
Gender Equality ◽  
Gender Gap ◽  
Secondary Data ◽  
Special Focus ◽  
Full Time ◽  
Men And Women ◽  
Women’S Entrepreneurship ◽  
Part Time ◽  
Women's Entrepreneurship ◽  
The Difference

Women’s entrepreneurship is a powerful source, regarding to the women’s economic independence and empowerment, as well as regarding employment generation, economic growth and innovation, development and the reduction of poverty as well as one of the terms of gender equality. This poster presents the situation of women's entrepreneurship in Europe in comparative terms, with special focus in Albania. The paper has a descriptive nature. Describes three different plans in comparative terms; the representation of men and women in entrepreneurship, the representation of women in entrepreneurship in different countries of Europe and of Europe as a whole, as well as compare to gender quota. Through the processing of secondary data from various reports and studies, this poster concludes that although that the gender equality goal is the equal participation of men and women in all sectors, including the entrepreneurship, in this sector, gender gap it is still deep. Another significant comparative aspect, it is the difference between full and part –time women entrepreneurship. While in full time entrepreneurship in a convince way, men are those that dominate, in part time entrepreneurship clearly it’s evident the opposite trend, women's representation is much higher. It’s very interesting the fact, that the women’s entrepreneurship in Albania, presented in a significant optimistic situation, ranking in the second place, after Greece in the European level

Elevation gaps in fluvial sandbar deposition and their implications for paleodepth estimation

Geology ◽  
2020 ◽  
Vol 48 (7) ◽  
pp. 718-722
Author(s):  
Jason S. Alexander ◽  
Brandon J. McElroy ◽  
Snehalata Huzurbazar ◽  
Marissa L. Murr
Keyword(s):  
Large Data ◽  
Accurate Estimation ◽  
Systematic Bias ◽  
Flow Depth ◽  
Mean Flow ◽  
Data Set ◽  
Bed Elevation ◽  
The Difference ◽  
Base Elevation ◽  
Thickness Measurements

Abstract Accurate estimation of paleo–streamflow depth from outcrop is important for estimation of channel slopes, water discharges, sediment fluxes, and basin sizes of ancient river systems. Bar-scale inclined strata deposited from slipface avalanching on fluvial bar margins are assumed to be indicators of paleodepth insofar as their thickness approaches but does not exceed formative flow depths. We employed a unique, large data set from a prolonged bank-filling flood in the sandy, braided Missouri River (USA) to examine scaling between slipface height and measures of river depth during the flood. The analyses demonstrated that the most frequent slipface height observations underestimate study-reach mean flow depth at peak stage by a factor of 3, but maximum values are approximately equal to mean flow depth. At least 70% of the error is accounted for by the difference between slipface base elevation and mean bed elevation, while the difference between crest elevation and water surface accounts for ∼30%. Our analysis provides a scaling for bar-scale inclined strata formed by avalanching and suggests risk of systematic bias in paleodepth estimation if mean thickness measurements of these deposits are equated to mean bankfull depth.

scholarly journals Ensemble daily simulations for elucidating cloud–aerosol interactions under a large spread of realistic environmental conditions

2020 ◽  
Vol 20 (11) ◽  
pp. 6291-6303
Author(s):  
Guy Dagan ◽  
Philip Stier
Keyword(s):  
Initial Conditions ◽  
Cloud Droplet ◽  
Large Data ◽  
Data Set ◽  
Cloud Properties ◽  
Large Spread ◽  
The Difference ◽  
Ice Content ◽  
Aerosol Effects ◽  
Longwave Flux

Abstract. Aerosol effects on cloud properties and the atmospheric energy and radiation budgets are studied through ensemble simulations over two month-long periods during the NARVAL campaigns (Next-generation Aircraft Remote-Sensing for Validation Studies, December 2013 and August 2016). For each day, two simulations are conducted with low and high cloud droplet number concentrations (CDNCs), representing low and high aerosol concentrations, respectively. This large data set, which is based on a large spread of co-varying realistic initial conditions, enables robust identification of the effect of CDNC changes on cloud properties. We show that increases in CDNC drive a reduction in the top-of-atmosphere (TOA) net shortwave flux (more reflection) and a decrease in the lower-tropospheric stability for all cases examined, while the TOA longwave flux and the liquid and ice water path changes are generally positive. However, changes in cloud fraction or precipitation, that could appear significant for a given day, are not as robustly affected, and, at least for the summer month, are not statistically distinguishable from zero. These results highlight the need for using a large sample of initial conditions for cloud–aerosol studies for identifying the significance of the response. In addition, we demonstrate the dependence of the aerosol effects on the season, as it is shown that the TOA net radiative effect is doubled during the winter month as compared to the summer month. By separating the simulations into different dominant cloud regimes, we show that the difference between the different months emerges due to the compensation of the longwave effect induced by an increase in ice content as compared to the shortwave effect of the liquid clouds. The CDNC effect on the longwave flux is stronger in the summer as the clouds are deeper and the atmosphere is more unstable.

scholarly journals Ensemble daily simulations for elucidating cloud–aerosol interactions under a large spread of realistic environmental conditions

2019 ◽  
Author(s):  
Guy Dagan ◽  
Philip Stier
Keyword(s):  
Initial Conditions ◽  
Cloud Droplet ◽  
Large Data ◽  
Data Set ◽  
Cloud Properties ◽  
Large Spread ◽  
The Difference ◽  
Ice Content ◽  
Aerosol Effects ◽  
Ice Water

Abstract. Aerosol effects on cloud properties and the atmospheric energy and radiation budgets are studied through ensemble simulations over two month-long periods during the NARVAL campaigns (December 2013 and August 2016). For each day, two simulations are conducted with low and high cloud droplet number concentrations (CDNC), representing low and high aerosol concentrations, respectively. This large data-set, which is based on a large spread of co-varying realistic initial conditions, enables robust identification of the effect of CDNC changes on cloud properties. We show that increases in CDNC drive a reduction in the top of atmosphere (TOA) net shortwave flux (more reflection) and a decrease in the lower tropospheric stability for all cases examined, while the TOA longwave flux and the liquid and ice water path changes are generally positive. However, changes in cloud fraction or precipitation, that could appear significant for a given day, are not as robustly affected, and, at least for the summer month, are not statistically distinguishable from zero. These results highlight the need for using large statistics of initial conditions for cloud–aerosol studies for identifying the significance of the response. In addition, we demonstrate the dependence of the aerosol effects on the season, as it is shown that the TOA net radiative effect is doubled during the winter month as compared to the summer month. By separating the simulations into different dominant cloud regimes, we show that the difference between the different months emerge due to the compensation of the longwave effect induced by an increase in ice content as compared to the shortwave effect of the liquid clouds. The CDNC effect on the longwave is stronger in the summer as the clouds are deeper and the atmosphere is more unstable.

scholarly journals A Man’s world? Comparing the structural positions of men and women in an organized criminal network

2020 ◽  
Vol 74 (5) ◽  
pp. 547-569
Author(s):  
Tomáš Diviák ◽  
James A. Coutinho ◽  
Alex D. Stivala
Keyword(s):  
Law Enforcement ◽  
Gender Gap ◽  
Organized Crime ◽  
Criminal Activity ◽  
Men And Women ◽  
Criminal Network ◽  
Canadian Law ◽  
Social Network Approach ◽  
The Difference ◽  
Structural Positions

Abstract The crime gender gap is the difference between the levels of participation of men and women in crime, with men responsible for more crime than women. Recent evidence suggests that the crime gender gap is closing, both in crime in general and in organized crime. However, organized crime differs from other forms of criminal activity in that it entails an organizational structure of cooperation among offenders. Assessing whether the gender gap in organized crime is narrowing is not only about the overall levels of involvement of women, but about their roles and positions within the organized criminal structure, because the involvement of women does not mean that they are in influential positions, or that they have power or access to resources important for the commission of organized crime. This paper uses a social network approach to systematically compare the structural positions of men and women in an organized criminal network. We use a dataset collected by Canadian Law Enforcement consisting of 1390 individuals known or suspected to be involved in organized crime, 185 of whom are women. Our analysis provides evidence for an ongoing gender gap in organized crime, with women occupying structural positions that are generally associated with a lack of power. Overall, women are less present in the network, tend to collaborate with other women rather than with men, and are more often in the disadvantageous position of being connected by male intermediaries. Implications for theory and law enforcement practice are discussed.

Mobility and Political Orientation

1985 ◽  
Vol 28 (3) ◽  
pp. 385-400 ◽  
Author(s):  
Kathleen M. Blee
Keyword(s):  
Social Mobility ◽  
Gender Gap ◽  
Occupational Status ◽  
The United States ◽  
Political Orientation ◽  
Public Attention ◽  
Men And Women ◽  
Political Orientations ◽  
The Difference ◽  
Log Linear

Public attention recently has been drawn to the existence of a “gender gap” in public opinion and electoral politics in the United States. Yet the reasons for this sex difference in politics are unclear. Do men and women have differences of political orientation that are independent of social class differences or do sex differences in politics reflect different class experiences for men and women? This research uses national survey data to compare the political effects of social mobility for three groups of respondents: Males, women employed for wages outside the home, and housewives. I predict that women who are mobile by virtue of their own occupational status will have political orientations close to those of their class-of-destination, while women who are mobile by virtue of a spouse's occupation will retain political orientations similar to those of their class-of-origin. Further, I predict that the difference between the relationship of social mobility and political orientation for employed men and women will decline as women's overall labor force participation increases. In a log-linear analysis of presidential candidate selection from 1948 to 1980, I find that marital and occupational mobility do have different effects on women's political orientation, but the direction of political change across mobility statuses was not consistent. There is no convergence over time in the pattern whereby mobility status is related to political choice for men and women.

Linguistic Proficiency: A Quantitative Approach to Immigrant and Heritage Speakers of Danish

2018 ◽  
Vol 0 (0) ◽  
Author(s):  
Jan Heegård Petersen ◽  
Gert Foget Hansen ◽  
Jacob Thøgersen ◽  
Karoline Kühl
Keyword(s):  
Speech Rate ◽  
Large Data ◽  
Foreign Born ◽  
Heritage Speakers ◽  
Statistical Tool ◽  
Data Set ◽  
Language Competence ◽  
The Difference ◽  
Linguistic Proficiency ◽  
Rare Opportunity

AbstractThis paper presents a corpus-based quantitative study on linguistic proficiency of approx. 300 immigrant and heritage speakers of Danish in North America and Argentina, aiming at the question whether linguistic proficiency is connected to ‘immigrant generation’ (i.e. the difference between speakers who migrated as adults with a fully acquired language competence and foreign-born heritage speakers) or the sociocultural setting, or both. The large data base at hand provides a rare opportunity to compare developments within the same minority language in different places, representing different sociocultural settings for the immigrant or heritage speakers and, accordingly, different language ecologies. The study relies on the Corpus of American Danish (1.6 million tokens, including both words and non-word utterances). Based on this data set, the paper explores the distribution of 13 linguistic and non-linguistic variables representing linguistic proficiency (i.e. Danish words, L2 words, word-internal codeswitching, type-token ratio, empty and filled pauses, self-interruption, lengthening, speech rate, word length, runlength and the ratio of main and subclauses) by applying Factor Analysis as a statistical tool. On an empirically solid basis, the paper concludes that (a) the sociolinguistic setting is the crucial factor in the development of linguistic proficiency and (b) linguistic proficiency is a non-universal cognitive phenomenon.

scholarly journals Decomposing Gender Differences in Bankcard Credit Limits

2021 ◽  
Vol 2021 (072) ◽  
pp. 1-63
Author(s):  
Nathan Blascak ◽  
◽  
Anna Tranfaglia ◽  
Keyword(s):  
Gender Differences ◽  
Gender Gap ◽  
Demographic Characteristics ◽  
Data Set ◽  
Male And Female ◽  
Individual Level ◽  
Credit Score ◽  
Quantile Decomposition ◽  
The Difference ◽  
Over Time

In this paper, we examine if there are gender differences in total bankcard limits by utilizing a data set that links mortgage applicant information with individual-level credit bureau data from 2006 to 2016. We document that after controlling for credit score, income, and demographic characteristics, male borrowers on average have higher total bankcard limits than female borrowers. Using a standard Kitagawa-Oaxaca-Blinder decomposition, we find that 87 percent of the gap is explained by differences in the effect of observed characteristics between male and female borrowers, while approximately 10 percent of the difference can be explained by differences in the levels of observed characteristics. Using a quantile decomposition strategy to analyze the gender gap along the entire bankcard credit limit distribution, we show that gender differences in bankcard limits favor female borrowers at smaller limits and favor male borrowers at larger limits. The primary factors that drive this gap have changed over time and vary across the distribution of credit limits.

Collecting and evaluating large volumes of bibliographic metadata aggregated in the WorldCat database: a proposed methodology to overcome challenges

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Vyacheslav I. Zavalin ◽  
Shawne D. Miksa
Keyword(s):  
Data Collection ◽  
Large Scale ◽  
Large Data ◽  
Study Data ◽  
Lessons Learned ◽  
Future Research ◽  
Data Set ◽  
Content Type ◽  
Large Data Set ◽  
Smart Data

Purpose This paper aims to discuss the challenges encountered in collecting, cleaning and analyzing the large data set of bibliographic metadata records in machine-readable cataloging [MARC 21] format. Possible solutions are presented. Design/methodology/approach This mixed method study relied on content analysis and social network analysis. The study examined subject representation in MARC 21 metadata records created in 2020 in WorldCat – the largest international database of “big smart data.” The methodological challenges that were encountered and solutions are examined. Findings In this general review paper with a focus on methodological issues, the discussion of challenges is followed by a discussion of solutions developed and tested as part of this study. Data collection, processing, analysis and visualization are addressed separately. Lessons learned and conclusions related to challenges and solutions for the design of a large-scale study evaluating MARC 21 bibliographic metadata from WorldCat are given. Overall recommendations for the design and implementation of future research are suggested. Originality/value There are no previous publications that address the challenges and solutions of data collection and analysis of WorldCat’s “big smart data” in the form of MARC 21 data. This is the first study to use a large data set to systematically examine MARC 21 library metadata records created after the most recent addition of new fields and subfields to MARC 21 Bibliographic Format standard in 2019 based on resource description and access rules. It is also the first to focus its analyzes on the networks formed by subject terms shared by MARC 21 bibliographic records in a data set extracted from a heterogeneous centralized database WorldCat.

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