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Record W2105406833 · doi:10.25336/p6f02s

The Influence of Characteristics of Men’s Job on the Timing of the First Birth in Canada

2010· article· en· W2105406833 on OpenAlexaffvenueabout
Germain Bingoly-Liworo

Bibliographic record

VenueCanadian Studies in Population · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicFamily Dynamics and Relationships
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsWageDifferential (mechanical device)Demographic economicsPsychologyWork (physics)Job lossEconomicsLabour economicsUnemploymentEconomic growth

Abstract

fetched live from OpenAlex

The objective of the study was to illustrate the impact of characteristics of the job of at least six months held by men born from 1930 to 1965 on the timing of the first birth. The hypothesis is that characteristics of the job occupied at the beginning career lead to a differential transition to parenthood, characterized by a greater likelihood of having a first child for men whose job shows stability, compared with those whose first job is unstable and precarious. The data used are derived from the Statistics Canada 2001 General Social Survey, to which applied methods are used in event history analysis. The results validate the hypothesis, in indicating that full-time wage earners and self-employed workers have a greater likelihood of having a first child than part-time wage-earners. Results also show that the effect of characteristics of the job is limited in the first five years spent on the job. In addition, the job seems to accelerate the transition to parenthood for men married before being hired. All of the results suggest the need for family support to help young couples become established and for governments to adopt measures to encourage young people’s work integration.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.034
Threshold uncertainty score0.280

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.030
GPT teacher head0.275
Teacher spread0.244 · 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 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
Published2010
Admission routes3
Has abstractyes

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