MétaCan
Menu
Back to cohort
Record W3041134437 · doi:10.1162/edfp_a_00321

Full-Day Kindergarten: Effects on Maternal Labour Supply

2020· article· en· W3041134437 on OpenAlexaffabout
Elizabeth Dhuey, Jessie Lamontagne, Tingting Zhang

Bibliographic record

VenueEducation Finance and Policy · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsThe Scarborough HospitalUniversity of Toronto
Fundersnot available
KeywordsAbsenteeismMargin (machine learning)Demographic economicsDay careImmigrationLabour economicsPsychologyEconomicsMedicineGeographyNursingSocial psychology

Abstract

fetched live from OpenAlex

We examine the effects of offering full-day kindergarten as a replacement for half-day kindergarten on mothers' labour supply using the rollout of full-day kindergarten in Ontario, Canada. We find no effect on the extensive margin but found an effect on the intensive margin. In particular, we find that access to full-day kindergarten increases weekly hours worked and decreases absenteeism among mothers with kindergarten-aged children. This effect is driven by specific sub-groups, namely non-immigrant mothers with low education levels who live in urban areas and have only one child.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.445
Threshold uncertainty score0.428

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.010
GPT teacher head0.297
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations2
Published2020
Admission routes2
Has abstractyes

Explore more

Same venueEducation Finance and PolicySame topicEarly Childhood Education and DevelopmentFrench-language works237,207