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Record W4396736321 · doi:10.1177/00207152241244540

Multiple scripts, multiple institutions: Introducing complexity into the understanding of women’s empowerment

2024· article· en· W4396736321 on OpenAlexvenueno aff
Nir Rotem, Elizabeth Heger Boyle

Bibliographic record

VenueInternational Journal of Comparative Sociology · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicPoverty, Education, and Child Welfare
Canadian institutionsnot available
FundersEunice Kennedy Shriver National Institute of Child Health and Human Development
KeywordsScripting languageEmpowermentSociologySocial psychologyPsychologyComputer sciencePolitical science

Abstract

fetched live from OpenAlex

Partial enactment of women's rights is at the crux of this analysis, which identifies factors associated with the adoption of some global women's rights scripts but not others. Women who partially enact global principles are an important group, and focusing on them provides clues into when, where, and how institutionalized scripts are in competition. To explore this issue, Demographic and Health Survey data from 25 low- and middle-income countries across two time periods are used, with a focus on two dimensions of women's empowerment: a woman's household decision-making power and her attitudes toward intimate partner violence. Multinomial regressions reveal that exposure to global culture is associated with dual enactment of the two dimensions. Among partial adopters, enactment privileging physical integrity is mediated through local community institutions, including religions, whereas partial-enactment privileging decision making is associated with women's household bargaining power.

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)0.007
metaresearch head score (Gemma)0.009
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0040.042
Scholarly communication0.0120.022
Open science0.0010.009
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.122
GPT teacher head0.397
Teacher spread0.275 · 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

Citations5
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Comparative SociologySame topicPoverty, Education, and Child WelfareFrench-language works237,207