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Record W4387399404 · doi:10.3368/jhr.0522-12339r2

War-Driven Permanent Emigration, Sex Ratios, and Female Labor Force Participation

2023· article· en· W4387399404 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Journal of Human Resources · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicDemographic Trends and Gender Preferences
Canadian institutionsInstitut national de psychiatrie légale Philippe-Pinel
Fundersnot available
KeywordsEmigrationScarcityDemographic economicsPortugueseSex ratioEconomicsShock (circulatory)Labour economicsUnemploymentDemographyPolitical sciencePopulationSociologyEconomic growthMedicine

Abstract

fetched live from OpenAlex

<h3>Abstract</h3> We investigate the drivers of female labor force participation in the presence of unbalanced sex ratios due to a scarcity of males. To do so, we exploit exogenous variation in sex ratios across cohorts and regions, using instruments based on massive emigration in the 1960s that was fueled by the Portuguese Colonial War. As the sex ratio declined, female labor force participation increased, while the marriage rate was unaffected. Female representation among top occupations increased, and the gender pay gap declined, consistent with the predominance of a demand shock favoring female labor.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.559
Threshold uncertainty score0.552

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.051
GPT teacher head0.339
Teacher spread0.288 · 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