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Record W3121273612

Participation in Adult Schooling and Its Earnings Impact in Canada

2006· article· en· W3121273612 on OpenAlex
Boris Palameta, Xuelin Zhang

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAnalytical Studies Branch Research Paper Series · 2006
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicLabor market dynamics and wage inequality
Canadian institutionsnot available
Fundersnot available
KeywordsEarningsCertificateWageHuman capitalDemographic economicsLabour economicsInvestment (military)Rate of returnEconomicsBusinessPolitical scienceFinanceEconomic growth
DOInot available

Abstract

fetched live from OpenAlex

Based on a sample drawn from Statistics Canada's Survey of Labour and Income Dynamics (SLID: 1993 to 1998 and 1996 to 2001), the study finds that young (17 to 34 years old) and single workers were more likely than older (35 to 59 years old) and married and divorced workers to participate in adult schooling and to obtain a post-secondary certificate. Workers with less than a high school education who might have the greatest need to increase their human capital investment were less likely to participate in adult education than workers with high school or more education. The study shows that male workers who obtained a post-secondary certificate while staying with the same employer generally registered higher wage and earnings gains than their counterparts who did not go back to school, regardless of age and initial level of education. On the other hand, men who obtained a certificate and switched jobs generally realized no significant return to their additional education, with the exception of young men (17 to 34 years old) who would receive significant returns to a certificate, whether they switched employer or stayed with the same employer. Obtaining a certificate generated significant wage and earnings returns for older women (aged 35 to 59) who stayed with the same employer, and significant wage returns for young women who switched employers.

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.

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)0.002
metaresearch head score (Gemma)0.002
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 score0.154
Threshold uncertainty score0.511

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.062
GPT teacher head0.348
Teacher spread0.286 · 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