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Record W2103139175 · doi:10.1017/s0714980814000452

Impact of Providing Care on the Risk of Leaving Employment in Canada

2014· article· fr· W2103139175 on OpenAlexaffabout
Christine Proulx, Céline Le Bourdais

Bibliographic record

VenueCanadian Journal on Aging / La Revue canadienne du vieillissement · 2014
Typearticle
Languagefr
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsBusinessDemographic economicsLabour economicsEconomics

Abstract

fetched live from OpenAlex

Population aging is likely to lead to an increase in the number of people in need of assistance. It is well known that a large part of this assistance originates, and will continue to originate, from the network of relatives and friends. However, the effects of the provision of care on individuals' employment trajectories when this care is combined with employment of varying intensity or with childcare responsibilities have rarely been examined. The present study used proportional hazards models with the General Social Survey, Cycles 20 and 21, to assess the impact of providing care to a partner, a parent or parent-in-law, another relative, or a non-relative on the risk of leaving employment. The analyses show that providing care to a parent or parent-in-law increases the probability of leaving employment only among women employed full-time and among men and women who have no children or only adult children.

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)0.009
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.234

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.002
Science and technology studies0.0030.001
Scholarly communication0.0020.000
Open science0.0020.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.020
GPT teacher head0.282
Teacher spread0.261 · 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

Citations17
Published2014
Admission routes2
Has abstractyes

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Same venueCanadian Journal on Aging / La Revue canadienne du vieillissementSame topicEmployment and Welfare StudiesFrench-language works237,207