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Record W2160789873 · doi:10.7202/007574ar

Partition multifactorielle de la croissance de l’emploi des pôles de la région de Québec-Chaudière-Appalaches : 1981-1996

2004· article· fr· W2160789873 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCahiers de géographie du Québec · 2004
Typearticle
Languagefr
FieldEconomics, Econometrics and Finance
TopicRegional Economic and Spatial Analysis
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Plusieurs raisons justifient de s’intéresser à la croissance de l’emploi des pôles non métropolitains situés à proximité des régions métropolitaines de recensement (RMR). La présente étude propose une analyse de la variation de l’emploi, entre 1981 et 1996, des pôles de la région de Québec–Chaudières-Appalaches (QCA), au moyen d’une méthode de partition multifactorielle dérivée de l’analyse shift-share . Les résultats mettent en lumière un phénomène global de déconcentration de l’emploi, manufacturier notamment, mais aussi de féminisation de l’emploi, s’étendant au-delà des limites de la RMR de Québec. On constate ainsi non seulement un phénomène de suburbanisation de l’emploi, mais également un dynamisme particulièrement important des pôles d’emploi situés dans un rayon d’approximativement 50 km autour de la RMR de Québec. Au-delà de cette distance, l’évolution de l’emploi des pôles est beaucoup plus différenciée. Les résultats suggèrent ainsi que la distance à la RMR joue un rôle important dans la croissance de l’emploi des pôles non métropolitains de la région QCA.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.241
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.007
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.011
GPT teacher head0.202
Teacher spread0.191 · 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