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Record W3121477987

Paid Parental Leave: Leaner Might Be Better

2019· preprint· en· W3121477987 on OpenAlexaffabout
Catherine Haeck, Samuel Paré, Pierre Lefèbvre, Philip Merrigan

Bibliographic record

VenueProject Muse (Johns Hopkins University) · 2019
Typepreprint
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Policy and Management
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsInvestment (military)Survey data collectionPsychologyCognitionPlan (archaeology)Demographic economicsBusinessActuarial scienceDevelopmental psychologyEconomicsGeographyPolitical science
DOInot available

Abstract

fetched live from OpenAlex

This article provides an analysis of the impact of the Quebec Parental Insurance Plan (QPIP). Using a quasi-experimental design with survey data, we find that mothers spent on average 10 additional days with their newborn following the implementation of the insurance plan, and that both mothers and fathers received higher benefits. For children, using both survey data and administrative data, we find that the QPIP had limited positive effects on their health, cognitive and behavioural development. Effects are concentrated among families of mothers with a post-secondary education. These results suggest that while paid benefits increased dramatically, the impacts on maternal time investment and child well-being are modest.

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)0.003
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score0.094

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0280.001

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 head0.053
GPT teacher head0.243
Teacher spread0.189 · 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 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

Citations0
Published2019
Admission routes2
Has abstractyes

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