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DIFFERENTIAL ATTITUDE TOWARDS TRADITIONAL GENDER ROLE AMONG ADOLESCENTS: A SOCIOLOGICAL STUDY

2022· article· en· W4295804360 on OpenAlexaboutno aff
Md. Kamrul Islam

Bibliographic record

VenueKhulna University Studies · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicGender Roles and Identity Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGender biasPsychologyDevelopmental psychologyMultivariate analysisDifferential (mechanical device)Social psychologyMedicine

Abstract

fetched live from OpenAlex

This research was conducted using data from Alberta High School Graduate Survey (AHGS) 1996 in Canada to examine the differential attitude towards traditional gender role among high school graduates in Canada. Sex (men and women), mother as homemaker, father as homemaker, fathers’ education, mothers’ education, and community size were taken into account to predict adolescents’ attitude towards traditional gender role. Using multivariate statistical techniques, it was tested that boys and girls significantly differ regarding attitude towards traditional gender role. Overall, it was found that respondents’ sex had the strongest impact on adolescents’ attitude towards traditional gender role. And females’ attitude towards traditional gender role is less biased compared to males. Regarding parents as homemaker it was found that those whose mothers work as homemaker had high gender bias compared to those whose mothers were not homemakers. Finally, it was found that mothers’ high education was negatively associated with high level of gender bias.

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)0.001
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 score0.171
Threshold uncertainty score0.341

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.128
GPT teacher head0.302
Teacher spread0.173 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

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