La concurrence des importations et la puissance sur le marche : le cas du Canada
Bibliographic record
Abstract
J'ai estime dans le present document les majorations de prix par rapport au cout marginal (les marges commerciales) pour les branches manufacturieres canadiennes afin d'evaluer les repercussions de la concurrence des importations sur leur puissance sur le marche interieur. Les resultats de mes estimations sont mitiges. Meme si la relation globale entre les marges commerciales et les importations est positive dans toutes les branches pour le debut des annees 70 et non significative pour la fin de cette decennie, il existe de faibles elements probants transversaux qui laissent entendre que les importations reduisent la puissance sur le marche dans les branches concentrees au pays. Les changements observes sur le plan des importations entre les deux periodes ont cependant des repercussions positives sur les marges commerciales dans les branches concentrees. Il n'y a donc pas d'element coherent prouvant que dans le cas du Canada les importations avaient eu des repercussions avantageuses sur lesquelles on insiste dans une grande partie de la documentation se rattachant a la question. A l'oppose, le present document revele une chose interessante, c'est-a-dire que les augmentations au niveau des exportations sont reliees aux reductions au niveau des marges commerciales, ce qui laisse supposer que les exportations peuvent avoir des repercussions proconcurrentielles plus fortes que les importations sur les entreprises du pays.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".