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Record W2222685736

Rattrapage et perte de terrain : la performance provinciale du PIB par habitant entre 1990 et 2003

2004· preprint· fr· W2222685736 on OpenAlexaffabout
John R. Baldwin, W. Mark Brown, Jean-Pierre Maynard, Danielle Zietsma

Bibliographic record

VenueRePEc: Research Papers in Economics · 2004
Typepreprint
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsStatistics Canada
Fundersnot available
KeywordsHumanitiesPolitical scienceArt
DOInot available

Abstract

fetched live from OpenAlex

Dans ce document, on compare le produit intérieur brut (PIB) par habitant entre les provinces canadiennes de 1990 à 2003. On y examine d'abord les différences relatives du PIB par habitant en dollars courants entre les provinces et au fil du temps. Dans la deuxième section, on décompose la croissance du PIB par habitant en dollars historiques en ses composantes prix/volume afin de déterminer si cette croissance au cours de la période étudiée est attribuable au volume plus élevé de la production réelle ou au prix plus élevé auquel les biens et services produits sont vendus. Dans la troisième section, on examine le rapport entre les augmentations dans la composante du volume (PIB réel par habitant) et les changements dans la productivité ou dans les conditions du marché du travail (les heures travaillées par employé et la proportion d'employés appartenant à la population en âge de travailler).

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)0.000
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 score0.227
Threshold uncertainty score0.456

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.006
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.025
GPT teacher head0.318
Teacher spread0.293 · 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

Citations1
Published2004
Admission routes2
Has abstractyes

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