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Record W2799574738 · doi:10.1111/jomf.12475

Class Differences in Establishment Pathways to Fatherhood Wage Premiums

2018· article· en· W2799574738 on OpenAlexafffundabout
Lynn Prince Cooke, Sylvia Fuller

Bibliographic record

VenueJournal of Marriage and the Family · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicWork-Family Balance Challenges
Canadian institutionsUniversity of British Columbia
FundersH2020 European Research CouncilSocial Sciences and Humanities Research Council of CanadaSimon Fraser UniversityCanadian Institutes of Health ResearchEuropean Commission
KeywordsWageLabour economicsWage inequalityEconomicsDemographic economicsSortingEfficiency wage

Abstract

fetched live from OpenAlex

Organizations have been argued to favor fathers over childless men and skilled fathers over less‐skilled fathers, but group wage inequalities vary across as well as within establishments. This article theorizes class differences in the contribution of being employed in a high‐wage firm to the fatherhood wage premium. Analyses of linked employer–employee data from the Canadian Workplace and Employee Survey reveal that sorting into high‐wage establishments accounts for 60% of the economy‐wide premium for less‐educated and nonprofessional fathers, whereas high‐skilled fathers tend to work in lower wage establishments but receive the largest net fatherhood premium within firms. Among the subsample of fathers who changed employers in the past 5 years, less‐skilled fathers fared worse, whereas high‐skilled fathers sorted into high‐wage firms. Results thus suggest that employment in a higher wage firm likely enables less‐skilled men to transition to fatherhood, whereas high‐wage employers may discriminate in favor of only high‐skilled fathers in hiring.

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)0.001
metaresearch head score (Gemma)0.003
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0140.001

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 head0.030
GPT teacher head0.268
Teacher spread0.239 · 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

Citations29
Published2018
Admission routes3
Has abstractyes

Explore more

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