MétaCan
Menu
Back to cohort
Record W2970398451 · doi:10.22329/csw.v17i1.5895

What Do(n't) American Undergraduate Social Work Students Learn About Sex? A Content Analysis of Sex Positivity and Diversity in Five Popular HBSE Textbooks

2019· article· en· W2970398451 on OpenAlexvenueno aff
Emily Prior, David J. Williams, Tina Zavala, Jessica Milford

Bibliographic record

VenueCritical Social Work · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsnot available
FundersIdaho State University
KeywordsHuman sexualityOperationalizationDiversity (politics)PsychologySocial psychologyContent analysisSocial workDevelopmental psychologySociologyGender studiesSocial sciencePolitical scienceEpistemology

Abstract

fetched live from OpenAlex

Despite an emphasis within American social work to operationalize important professional values, such as embracing human diversity and promoting social justice, it is not clear how this may or may not occur with respect to human sexuality and sexual practices. In considering this issue, the present study employed a thorough content analysis of undergraduate level Human Behavior and the Social Environment (HBSE) textbooks in order to explore how human sexuality and sexual practices are presented to undergraduate college students. Specifically, this study focused on the extent that texts in the sample reflect sexual diversity and sex positivity, which are consistent with key social work values, and thus how such texts may shape students’ professional views of sexuality. Findings suggest that the educational presentation of sexuality and sexual practices varies across HBSE texts in terms of embracing sexual diversity and promoting sex-positivity.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.056
GPT teacher head0.393
Teacher spread0.337 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations10
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueCritical Social WorkSame topicSocial Work Education and PracticeFrench-language works237,207