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Record W2108027416 · doi:10.3386/w13188

Maternal employment, breastfeeding, and health: Evidence from maternity leave mandates

2007· report· en· W2108027416 on OpenAlexafffundabout
Michael Baker, Kevin Milligan

Bibliographic record

VenueNational Bureau of Economic Research · 2007
Typereport
Languageen
FieldMedicine
TopicBreastfeeding Practices and Influences
Canadian institutionsUniversity of British ColumbiaUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of CanadaUniversity of California, DavisMcMaster University
KeywordsBreastfeedingMaternity leaveNursingMaternal healthMedicineObstetricsEnvironmental healthSick leavePediatricsHealth servicesPopulation

Abstract

fetched live from OpenAlex

Public health agencies around the world have renewed efforts to increase the incidence and duration of breastfeeding. Maternity leave mandates present an economic policy that could help achieve these goals. We study their efficacy focusing on a significant increase in maternity leave mandates in Canada. We find very large increases in mothers' time away from work post-birth and in the attainment of critical breastfeeding duration thresholds. However, we find little impact on the self-reported indicators of maternal and child health captured in our data.

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 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)0.010
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.399
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.557
GPT teacher head0.585
Teacher spread0.027 · 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 teacher head, not a consensus.

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

Citations86
Published2007
Admission routes3
Has abstractyes

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