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Record W3112458297

Polygraphie du chômage des jeunes au Québec et au Canada (1998-2018)

2019· preprint· fr· W3112458297 on OpenAlexaboutno aff
Mircea Vultur, Louis Cornelissen

Bibliographic record

VenueRePEc: Research Papers in Economics · 2019
Typepreprint
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy
DOInot available

Abstract

fetched live from OpenAlex

L’objectif de cet article est de dégager les tendances qui ont marqué l’évolution du chômage des jeunes de 15 à 24 ans au Québec et au Canada au cours de la période 1998-2018, d’élaborer quelques propositions susceptibles de le caractériser et d’offrir des pistes explicatives des situations observées. Après un bref aperçu de la situation des jeunes sur le marché du travail, nous présenterons les grandes lignes d’évolution du chômage des jeunes ainsi qu’une série de facteurs à la source de cette évolution. Nous comparerons dans le deuxième temps le chômage des jeunes avec celui des adultes, en montrant que nous assistons, depuis 1998, pour les deux catégories de la main-d’œuvre, à une amélioration relative de ses divers paramètres. Nous analyserons, dans un troisième temps, le chômage des jeunes en fonction de la tranche d’âge, du genre et du niveau d’études. En conclusion, nous exposons quelques éléments de discussion et pistes de réflexion sur les caractéristiques et les perspectives d’évolution du chômage des jeunes.

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)0.002
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 score0.128

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0020.001
Scholarly communication0.0020.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.037
GPT teacher head0.315
Teacher spread0.278 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

Explore more

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