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Record W2062611913 · doi:10.1353/his.2014.0053

Women and Work in Hamilton, Ontario: A Case Study and a Research Challenge

2014· article· fr· W2062611913 on OpenAlexvenueaboutno aff
Eric W. Sager

Bibliographic record

VenueHistoire sociale · 2014
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsEarningsCensusWork (physics)Demographic economicsSubject (documents)PopulationEmpirical researchPeriod (music)SociologyLabour economicsEconomicsDemographyEngineering

Abstract

fetched live from OpenAlex

Le présent article met à l’épreuve deux hypothèses concernant la participation des femmes sur le marché du travail à Hamilton en 1911 : premièrement, que les femmes célibataires occupaient des emplois rémunérés pour faire contrepoids au chômage ou à la sous-rémunération des hommes; deuxièmement, que les travaux ménagers dont il fallait s’occuper décourageaient les femmes célibataires d’intégrer le marché du travail. Aucune de ces hypothèses, vérifiées à l’aune du recensement complet de la population de Hamilton en 1911, ne s’avère entièrement. La conclusion provisoire fait valoir que des motifs non matériels ont sans doute eu un rôle très important dans l’intégration des femmes à la population active à cette époque. Cette recherche fait appel à une fraction à peine des sources disponibles sur la question des femmes et de la main-d’œuvre au Canada. Ce genre de nouvelles données empiriques ouvre des débouchés sans précédent pour les historiens s’intéressant à la question des femmes et du marché du travail.

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)0.003
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 score0.074
Threshold uncertainty score0.539

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.006
Science and technology studies0.0300.009
Scholarly communication0.0030.001
Open science0.0020.003
Research integrity0.0020.001
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 head0.050
GPT teacher head0.286
Teacher spread0.236 · 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

Citations1
Published2014
Admission routes2
Has abstractyes

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