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Record W7048546440

La performance économique du Québec : constats et défis (III)

2008· article· fr· W7048546440 on OpenAlexfundaboutno aff

Bibliographic record

VenueÉrudit documents and data repository (Érudit Consortium, University of Montreal) · 2008
Typearticle
Languagefr
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
FundersSwenson College of Science and Engineering, University of Minnesota DuluthWuhan University of TechnologyWuhan UniversityRoyal Society of Canada
KeywordsTerm (time)Constraint (computer-aided design)Limiting
DOInot available

Abstract

fetched live from OpenAlex

Nous caractérisons dans ce rapport la performance économique du Québec de 1981 à 2006 (25ans). Plusieurs indicateurs sont présentés : PIB, PIB par habitant, population, création d'emplois, taux d'emploi, rémunération hebdomadaire moyenne, investissements privés, exportations, dette, R&D. Malgré la présence de secteurs en plein développement, la performance économique globale du Québec traîne dangereusement derrière celle du reste du Canada et des États-Unis. Plusieurs défis doivent être relevés. Nous sommes d'une certaine manière condamnés à être plus efficaces et plus innovateurs que nos principaux concurrents et partenaires afin de renverser la tendance actuelle vers la marginalité. Cette véritable nouvelle révolution tranquille devrait incarner les mêmes principes sociaux démocrates que ceux qui ont présidé à l'avènement du Québec moderne mais s'appuyer sur des moyens, modalités et politiques radicalement différents, i.e. implémenter une social-démocratie concurrentielle.

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)0.003
metaresearch head score (Gemma)0.010
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.098
Threshold uncertainty score0.710

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0070.012
Science and technology studies0.0040.004
Scholarly communication0.0090.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.015
GPT teacher head0.217
Teacher spread0.202 · 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
Published2008
Admission routes2
Has abstractyes

Explore more

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