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Measurement of Labour Market Attachment in the Northern Canadian Context: Conceptual and Methodological Issues

2013· article· fr· W1592482815 on OpenAlexaffvenueabout
Senada Delic

Bibliographic record

VenueInterventions économiques · 2013
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsCarleton University
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Un fort attachement au marché du travail est largement reconnu comme une source d'émancipation économique et une voie essentielle pour sortir de la pauvreté et de ce fait, cette mesure est surveillée de près. L'approche classique de la mesure de la participation au marché du travail employée au Canada est fondée sur des hypothèses a priori qui spécifient ce qui constitue l'activité sur le marché du travail et l'inactivité. Cet article jette un regard critique sur les fondements conceptuels et méthodologiques de cette approche conventionnelle et met en évidence certaines questions importantes liées à son application au contexte du Nord canadien, en se concentrant en particulier sur les conditions de vie dans les collectivités inuit et en les comparant à la réalité des grands centres urbains du Sud . L’article appelle à un examen empirique de ces questions, en faisant valoir que la ligne de démarcation entre les sous-groupes économiquement actifs et ceux aux limites de la population en âge de travailler vivant dans les communautés inuit du Nord est sans doute plus floue que celle qu’on observe au sein de la population des Autochtones qui s’identifient ainsi, mais vivent hors réserve dans les grands centres urbains et ce, en raison de différences significatives dans les arrangements institutionnels entre les marchés du travail du Nord et du Sud.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.444
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.209
GPT teacher head0.394
Teacher spread0.185 · 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.

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
Published2013
Admission routes3
Has abstractyes

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