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Record W1975699294 · doi:10.1353/cpp.0.0053

Les politiques forestières du Québec et le commerce « loyal » : le différend sur le bois d’œuvre

2010· article· fr· W1975699294 on OpenAlexaffvenueabout
Gilbert Gagné, Éric Jasmin

Bibliographic record

VenueCanadian Public Policy · 2010
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsCollège Jean-de-BrébeufBishop's University
Fundersnot available
KeywordsStumpageGovernment (linguistics)ForestryPolitical scienceGeographyHumanitiesEconomyEconomicsArt

Abstract

fetched live from OpenAlex

Les droits de coupe pour les arbres des forêts publiques sont déterminés au Québec à partir des prix du bois sur le marché privé. Dans le cadre du différend sur le bois d’œuvre avec les États-Unis, si le département américain du Commerce considérait en 1992 que ce marché était concurrentiel, et pouvait donc servir de base de référence, il concluait différemment en 2002. Or, il est difficile de démontrer que le régime forestier québécois satisfait ou non effectivement à des conditions « loyales » d’échanges, sur lesquelles les États-Unis insistent. Même si le nouveau régime forestier annoncé par le gouvernement du Québec en 2008 prévoit la mise aux enchères d’une part significative du bois public, ce régime ne paraît guère en mesure de répondre aux exigences américaines.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.292

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0060.004
Scholarly communication0.0040.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.000

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 head0.041
GPT teacher head0.296
Teacher spread0.256 · 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 designQualitative
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
Published2010
Admission routes3
Has abstractyes

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