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Record W1564830859

L'evolution des obstacles aux echanges et les entreprises canadiennes : survie et disparition apres l'Accord de libre-echange entre le Canada et les Etats-Unis

2004· preprint· fr· W1564830859 on OpenAlexaboutno aff
Jen Baggs

Bibliographic record

VenueRePEc: Research Papers in Economics · 2004
Typepreprint
Languagefr
FieldEconomics, Econometrics and Finance
TopicFirm Innovation and Growth
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesArt
DOInot available

Abstract

fetched live from OpenAlex

Ce document permet d'examiner les consequences de l'evolution des obstacles aux echanges sur la survie des entreprises manufacturieres au Canada. Nous avons elabore un modele de Cournot a marches segmentes pour decrire les effets de la liberalisation des echanges sur des entreprises heterogenes exploitees dans diverses branches d'activite. Nous testons les previsions de ce modele empiriquement a l'aide de donnees au niveau de l'entreprise, pour des societes tant publiques que privees, et de taux tarifaires, pour le Canada et les Etats-Unis. Selon notre etude, la baisse des tarifs canadiens a reduit la probabilite de survie des entreprises canadiennes, tandis que la diminution des tarifs americains a augmente la probabilite. Si l'on combine ces deux effets, dans les deux tiers des industries du secteur canadien de la fabrication, les entreprises ont vu augmenter leur probabilite de survie a la suite des reductions tarifaires exigees par l'Accord de libre-echange entre le Canada et les Etats-Unis. Toutefois, la sensibilite des entreprises individuelles aux modifications tarifaires etait attenuee par les caracteristiques de ces entreprises. Plus precisement, la productivite et le niveau d'endettement jouaient un role important dans la determination de la vulnerabilite d'une entreprise a la suite de la liberalisation des echanges.

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)0.001
metaresearch head score (Gemma)0.005
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 score0.137
Threshold uncertainty score0.276

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0020.001
Scholarly communication0.0040.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.055
GPT teacher head0.277
Teacher spread0.222 · 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
Published2004
Admission routes1
Has abstractyes

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