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Record W2139476074 · doi:10.1111/0008-4085.00081

In and out of the labour market: long‐term income consequences of child‐related interruptions to women's paid work

2001· article· fr· W2139476074 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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian Journal of Economics/Revue canadienne d économique · 2001
Typearticle
Languagefr
FieldSocial Sciences
TopicGender, Labor, and Family Dynamics
Canadian institutionsDalhousie University
Fundersnot available
KeywordsHuman capitalMicrodata (statistics)HumanitiesWelfare economicsEconomicsSociologyPolitical scienceLabour economicsDemographyArtCensusPopulationEconomic growth

Abstract

fetched live from OpenAlex

Why do Canadian mothers have lower incomes than women who have never had children? Microdata from the 1995 GSS allow examination of two hypotheses: (1) mothers have spent more time out of the labour force, thus acquiring less human capital; (2) higher levels of unpaid work lead to fatigue and/or scheduling difficulties. Measuring work history does little to account for the ‘family gap.’ The estimated child penalty is reduced by allowing for ‘human capital depreciation’ and controlling for unpaid work hours, but the two hypotheses together cannot entirely explain the gap. JEL Classification: J0, J3 Entrées et sorties: marché du travail et conséquences à long terme des interruptions dans l'expérience sur le marché du travail à cause des enfants. Ce mémoire se demande pourquoi les femmes canadiennes qui ont eu des enfants ont des revenus plus bas que ceux des femmes qui n'en ont pas eus. Les microdonnées de l'Enquête sociale générale de 1995 de Statistiques Canada permettent d'examiner deux hypothèses: (1) les mères ont passé plus de temps en dehors de la main d'oeuvre active et donc ont accumulé moins de capital humain, ou (2) des niveaux plus élevés de travail non‐rémunéré peuvent entraîner fatigue ou difficultés d'organisation du temps. Des efforts pour construire une meilleure image de l'expérience de travail des femmes ne permettent pas d'expliquer cet ‘écart familial,’ même si la possibilité qu'il y ait ‘dépréciation du capital humain’ réduit la pénalisation attachée au fait d'avoir un enfant en particulier si l'interruption dans l'expérience sur le marché du travail est suivie d'un changement d'emploi. Le nombre hebdomadaire d'heures de travail non payé est relié négativement aux revenus, et si l'on normalise pour tenir compte des heures de travail non payé cela réduit la pénalisation attachée au fait d'avoir un enfant. Cependant les deux hypothèses combinées ne suffisent pas pour expliquer l'écart.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.805
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.056
GPT teacher head0.209
Teacher spread0.153 · 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