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Record W2010058753 · doi:10.1080/14681990310001609813

Sexual attitudes of US and Canadian medical students: the role of ethnicity, gender, religion and acculturation

2003· article· en· W2010058753 on OpenAlexaboutno aff
Sandra R. Leiblum, Markus Wiegel, Frank Brickle

Bibliographic record

VenueSexual & Relationship Therapy · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicGender Roles and Identity Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAcculturationEthnic groupPsychologyClinical psychologyGender studiesSocial psychologySociologyAnthropology

Abstract

fetched live from OpenAlex

Key variables contributing to sexual liberality or conservatism of sexual attitudes appear to be ethnicity, religion and religiosity, gender and degree of acculturation to mainstream Western culture. This study investigated the relative contribution of these variables to the sexual beliefs of US and Canadian medical students of diverse ethnic backgrounds. Significant differences were found in total scores on a Cross Cultural Attitude Scale (CCAS) with Caucasians coming from the USA, Canada, Western Europe and South Africa being the most liberal, and students self-identifying as Middle Eastern or Asian being the most sexually conservative. However, acculturation played a major role in attenuating the impact of ethnic background. Despite significant main effects of religion, ethnicity, gender and acculturation on sexual attitudes, the overall sample tended to be fairly liberal, suggesting the impact of globalization and acculturation on students of diverse ethnic backgrounds.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.153
Threshold uncertainty score0.308

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.058
GPT teacher head0.361
Teacher spread0.303 · 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 designObservational
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

Citations51
Published2003
Admission routes1
Has abstractyes

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