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Record W2264405372

Comparaison des niveaux de productivite au Canada et aux Etats-Unis : etude de certains aspects de la mesure

2005· preprint· fr· W2264405372 on OpenAlexaboutno aff
John R. Baldwin, Jean-Pierre Maynard, Marc Tanguay, Fanny Wong, Beiling Yan

Bibliographic record

VenueRePEc: Research Papers in Economics · 2005
Typepreprint
Languagefr
FieldAgricultural and Biological Sciences
TopicAgriculture and Rural Development Research
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Le présent document comprend un examen du niveau de productivité du travail au Canada par rapport aux États Unis en 1999. À cette fin, deux questions sont abordées principalement. La première est celle de la comparabilité des mesures du PIB et de l'intrant travail produites par l'organisme statistique de chaque pays. La deuxième a trait à la façon dont un indice de prix peut être élaboré pour rapprocher les estimations du PIB par heure travaillée au Canada et aux États Unis, qui sont calculées en dollars canadiens et en dollars américains respectivement. Une fois que cela est fait, et que sont prises en compte les autres hypothèses concernant les prix au Canada et aux États Unis, les auteurs présentent des estimations ponctuelles de la productivité relative du travail au Canada, pour l'ensemble de l'économie, qui représente environ 93 % de celle aux États Unis. Selon les auteurs, on devrait appliquer un intervalle de confiance d'au moins dix points à ces estimations. La taille de la fourchette est particulièrement sensible aux hypothèses concernant les prix des importations et des exportations.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.523
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.030
GPT teacher head0.312
Teacher spread0.282 · 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

Citations2
Published2005
Admission routes1
Has abstractyes

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