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Record W3083377215

Évolution séculaire du profil des salaires en fonction de l’âge : Québec, Canada et États-Unis

2020· article· fr· W3083377215 on OpenAlex

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

VenueCIRANO Project Reports · 2020
Typearticle
Languagefr
FieldEconomics, Econometrics and Finance
TopicLabor market dynamics and wage inequality
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt
DOInot available

Abstract

fetched live from OpenAlex

Plusieurs études mettent en évidence un aplanissement du profil des salaires en fonction de l’âge aux États-Unis et au Canada chez les cohortes récentes. Autrement dit, ces dernières connaîtraient une moindre progression des salaires avec l’âge lorsqu’on les compare aux cohortes précédentes. Les implications de ce phénomène sont multiples, affectant par exemple les inégalités salariales mesurées dans les données transversales ainsi que celles de revenu de long terme entre générations. Dans cette étude, nous utilisons les données de l’Enquête sur la population active (EPA) au Canada et du Current Population Survey (CPS) aux États-Unis pour dresser un état des lieux et vérifier si le phénomène d’aplanissement du profil des salaires affecte les cohortes les plus récentes. Nous interprétons ensuite les résultats au prisme de la théorie du capital humain qui nous permet de relier le profil des salaires selon l’âge aux différences individuelles qui préexistent à l’entrée sur le marché du travail au sein des cohortes et entre les cohortes.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.493
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.021
GPT teacher head0.230
Teacher spread0.208 · 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