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Record W2200018099

Connecting the Dots: The Early Impacts of Increased Paid Maternity Leave on Child Development

2015· preprint· en· W2200018099 on OpenAlexaboutno aff
Catherine Haeck

Bibliographic record

VenueEconstor (Econstor) · 2015
Typepreprint
Languageen
FieldSocial Sciences
TopicGender, Labor, and Family Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsMaternity leaveParental leaveObservational studyDemographic economicsPsychologyChild careDevelopmental psychologyPaternal careChild developmentMedicineNursingEconomicsPregnancy
DOInot available

Abstract

fetched live from OpenAlex

This paper evaluates the effect of extended maternal care on children's development at age 4 and 5 using observational data prior to and after the Canadian parental leave reform, which extended total paid leave from 25 to 50 weeks. In contrast with previous research on the Canadian parental leave reform, we estimate the impact of the reform while controlling for underlying trends in the outcome variables. We find that the policy change had positive effects on the cognitive development of children as well as parent-reported measures of child health and family well-being. Effects on behavioral development are mainly not significant. These results must be interpreted with respect to the effective treatment period and the type of care displaced. We find that mothers increased their time at home from 7 to 11 months and that the type of care displaced was mainly unregulated and provided by individuals without specific training.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.056
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0010.001
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 head0.027
GPT teacher head0.267
Teacher spread0.241 · 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

Citations2
Published2015
Admission routes1
Has abstractyes

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