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Record W6987444141

Studies of Contemporary Social Issues: Well Being through the Life Course and Organizational Challenges

2020· article· en· W6987444141 on OpenAlexaboutno aff

Bibliographic record

VenueScholar Commons (Santa Clara University) · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicContemporary Sociological Theory and Practice
Canadian institutionsnot available
Fundersnot available
KeywordsLife course approachCapstoneSocial capitalInclusion (mineral)Well-beingCultural capitalQuarter (Canadian coin)Survey data collectionPsychological resilience
DOInot available

Abstract

fetched live from OpenAlex

The Sociology Department at Santa Clara University is proud to present, in this volume of Silicon Valley Notebook, seven research papers written by students from the class of 2015.These papers reflect the substantive, theoretical, and methodological depth of the Sociology curriculum.Originally prepared as part of the Research Capstone course (Sociology 121), the student authors further refined their papers during the following quarter for inclusion in this volume.Taken together, the authors studied important social issues through the life course of individuals and social organizations.Each conducted rigorous quantitative analyses of national secondary survey data to test predictions grounded in sociological theoretical traditions.Qualitative interviews with sources knowledgeable about their respective topics were used to complement the quantitative findings.The three student authors in the first section reflected on the social mobility aspirations and health of adolescents.Laila Anne Waheed, in "High School Seniors' College Plans: Gendered Variations in the Effects of Academic Agency, Cultural and Social Capital," found theoretically meaningful gender differences in social and cultural capital pathways (that included parents, friends, and students' academic agency) to higher education.She used data on high school seniors from the national Monitoring the Future (2012) survey and interviews with eight education professionals.Kathryn L. Luna explored adolescent body image issues in her "Gendered Differences in Adolescent Body Image: Youth Agency, Protective and Risk Factors" and identified the complexities of female negative body image (in contrast to a simpler male pattern).Her analyses, using national survey data from students in the Health Behavior in School Aged Children survey (2009)(2010), commentaries from 6 education/health professionals, and the Iowa and Chicago theoretical Schools of Self Concept, endorsed a wrap-around need for health modeling and protection for adolescents.In the third paper in this section, "Children's Health: Family, Social Environment, and Child Activity," Anna Garvey revealed that children's physical activities promoted health; but parental control and distressed neighborhoods worsened it.These findings, drawn from the 2011-2012 National Survey of Children's Health and qualitative interviews with child development professionals, were theoretically framed within the Ecological and Social Interactionist models and contributed to the sociology of children's health in the digital world.The next set of papers on the well-being of adults was situated in the later stages of the individual life course; the specific themes were self-concept as well as health consequences of violent crime and cumulative racial disadvantages.In "Family, Intimate Partners, and Adult Self-Concept," Danae Vanessa Dickson, accessed data from the 2012 New Family Structures survey (n=2,765) and interviews with eight helping professionals, to evaluate the "boundary limiting" parameters of family influence on adult High School Seniors' College Plans: Gendered Variations in the Effects of Academic Agency and Cultural and Social Capital

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.849
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.156
GPT teacher head0.340
Teacher spread0.184 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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