Sociological Science最新文献_第3页

Social Status and the Moral Acceptance of Artificial Intelligence 社会地位与人工智能的道德接受度

IF 3.4 2区社会学

Sociological Science Pub Date : 2024-10-29 DOI: 10.15195/v11.a36

Patrick Schenk, Vanessa A. Müller, Luca Keiser

引用次数: 0

Can't Catch a Break: Intersectional Inequalities at Work. 抓不住机会：工作中的交叉不平等。

IF 2.7 2区社会学

Sociological Science Pub Date : 2024-01-01 Epub Date: 2024-03-25 DOI: 10.15195/v11.a10

Kristen Harknett, Charlotte O'Herron, Evelyn Bellew

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引用次数: 0

Labor Market Consequences of Grandparenthood. 祖父母身份对劳动力市场的影响。

IF 2.7 2区社会学

Sociological Science Pub Date : 2024-01-01 Epub Date: 2024-08-09 DOI: 10.15195/v11.a22

Won-Tak Joo, Felix Elwert, Martin D Munk

引用次数: 0

Money, Birth, Gender: Explaining Unequal Earnings Trajectories following Parenthood 金钱、出生、性别:解释为人父母后的不平等收入轨迹

IF 3.4 2区社会学

Sociological Science Pub Date : 2023-05-17 DOI: 10.15195/v10.a14

Weverthon Machado, Eva Jaspers

引用次数: 1

From Social Alignment to Social Control: Reporting the Taliban in Afghanistan 从社会结盟到社会控制:报道阿富汗的塔利班

IF 3.4 2区社会学

Sociological Science Pub Date : 2023-04-17 DOI: 10.15195/v10.a9

Patrick Bergemann, Austin L. Wright

引用次数: 1

Findings on Summer Learning Loss Often Fail to Replicate, Even in Recent Data 即使在最近的数据中，关于夏季学习损失的研究结果也往往无法复制

IF 3.4 2区社会学

Sociological Science Pub Date : 2023-03-30 DOI: 10.15195/v10.a8

Joseph Workman, Paul T. von Hippel, Joseph Merry

{"title":"Findings on Summer Learning Loss Often Fail to Replicate, Even in Recent Data","authors":"Joseph Workman, Paul T. von Hippel, Joseph Merry","doi":"10.15195/v10.a8","DOIUrl":"https://doi.org/10.15195/v10.a8","url":null,"abstract":"It is widely believed that (1) children lose months of reading and math skills over summer vacation and that (2) inequality in skills grows much faster during summer than during school. Concerns have been raised about the replicability of evidence for these claims, but an impression may exist that nonreplicable findings are limited to older studies. After reviewing the 100-year history of nonreplicable results on summer learning, we compared three recent data sources (ECLS- K:2011, NWEA, and Renaissance) that tracked U.S. elementary students' skills through school years and summers in the 2010s. Most patterns did not generalize beyond a single test. Summer losses looked substantial on some tests but not on others. Score gaps—between schools and students of different income levels, ethnicities, and genders—grew on some tests but not on others. The total variance of scores grew on some tests but not on others. On tests where gaps and variance grew, they did not consistently grow faster during summer than during school. Future research should demonstrate that a summer learning pattern replicates before drawing broad conclusions about learning or inequality.","PeriodicalId":22029,"journal":{"name":"Sociological Science","volume":"51 11","pages":""},"PeriodicalIF":3.4,"publicationDate":"2023-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50167262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Homophily, Setbacks, and the Dissolution of Heterogeneous Ties: Evidence from Professional Tennis 同质性、挫折与异质性关系的消解:来自职业网球的证据

IF 3.4 2区社会学

Sociological Science Pub Date : 2023-03-24 DOI: 10.15195/v10.a7

Xuege (Cathy) Lu, Shinan Wang, Letian Zhang

引用次数: 0

Dissecting the Lexis Table: Summarizing Population-Level Temporal Variability with Age–Period–Cohort Data 剖析词汇表:用年龄-时期-队列数据总结人口水平时间变异性

IF 3.4 2区社会学

Sociological Science Pub Date : 2023-03-13 DOI: 10.15195/v10.a5

Ethan Fosse

{"title":"Dissecting the Lexis Table: Summarizing Population-Level Temporal Variability with Age–Period–Cohort Data","authors":"Ethan Fosse","doi":"10.15195/v10.a5","DOIUrl":"https://doi.org/10.15195/v10.a5","url":null,"abstract":"Since Norman Ryder's (1965) classic essay on cohort analysis was published more than a half century ago, scores of researchers have attempted to uncover the separate effects of age, period, and cohort (APC) on a wide range of outcomes. However, rather than disentangling period effects from those attributable to age or cohort, Ryder's approach is based on distinguishing intra-cohort trends (or life-cycle change) from inter-cohort trends (or social change), which, together, constitute comparative cohort careers. Following Ryder's insights, in this article I show how to formally summarize population-level temporal variability on the Lexis table. In doing so, I present a number of parametric expressions representing intra- and inter-cohort trends, intra-period differences, and Ryderian comparative cohort careers. To aid the interpretation of results, I additionally introduce a suite of novel visualizations of these model-based summaries, including 2D and 3D Lexis heat maps. Crucially, the Ryderian approach developed in this article is fully identified, complementing (but not replacing) conventional approaches that rely on theoretical assumptions to parse out unique APC effects from unidentified models. This has the potential to provide a common base of knowledge in a literature often fraught with controversy. To illustrate, I analyze trends in social trust in the U.S. General Social Survey from 1972 to 2018.","PeriodicalId":22029,"journal":{"name":"Sociological Science","volume":"43 2","pages":""},"PeriodicalIF":3.4,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50167458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Testing Models of Cognition and Action Using Response Conflict and Multinomial Processing Tree Models 用反应冲突和多项加工树模型测试认知和行动模型

IF 3.4 2区社会学

Sociological Science Pub Date : 2023-03-07 DOI: 10.15195/v10.a4

Andrew Miles, Gordon Brett, Salwa Khan, Yagana Samim

引用次数: 2

Using Machine Learning to Uncover the Semantics of Concepts: How Well Do Typicality Measures Extracted from a BERT Text Classifier Match Human Judgments of Genre Typicality? 使用机器学习揭示概念的语义:从BERT文本分类器中提取的典型性度量与人类对类型典型性的判断相匹配的程度如何?

IF 3.4 2区社会学

Sociological Science Pub Date : 2023-03-03 DOI: 10.15195/v10.a3

Gaël Le Mens, Balázs Kovács, Michael T. Hannan, Guillem Pros

{"title":"Using Machine Learning to Uncover the Semantics of Concepts: How Well Do Typicality Measures Extracted from a BERT Text Classifier Match Human Judgments of Genre Typicality?","authors":"Gaël Le Mens, Balázs Kovács, Michael T. Hannan, Guillem Pros","doi":"10.15195/v10.a3","DOIUrl":"https://doi.org/10.15195/v10.a3","url":null,"abstract":"Social scientists have long been interested in understanding the extent to which the typicalities of an object in concepts relate to its valuations by social actors. Answering this question has proven to be challenging because precise measurement requires a feature-based description of objects. Yet, such descriptions are frequently unavailable. In this article, we introduce a method to measure typicality based on text data. Our approach involves training a deep-learning text classifier based on the BERT language representation and defining the typicality of an object in a concept in terms of the categorization probability produced by the trained classifier. Model training allows for the construction of a feature space adapted to the categorization task and of a mapping between feature combination and typicality that gives more weight to feature dimensions that matter more for categorization. We validate the approach by comparing the BERT-based typicality measure of book descriptions in literary genres with average human typicality ratings. The obtained correlation is higher than 0.85. Comparisons with other typicality measures used in prior research show that our BERT-based measure better reflects human typicality judgments.","PeriodicalId":22029,"journal":{"name":"Sociological Science","volume":"41 4","pages":""},"PeriodicalIF":3.4,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50167463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5