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Record W4407132703 · doi:10.7202/1116025ar

La mise en oeuvre exagérée du droit international : la réception au palier fédéral canadien des traités sur les marchés publics

2024· article· fr· W4407132703 on OpenAlexvenueaboutno aff
D. McKee

Bibliographic record

VenueLex Electronica · 2024
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicLaw, logistics, and international trade
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Lorsque les juristes canadiens discutent de l’intégration du droit international en droit interne, ils se demandent souvent si le Canada respecte ses obligations. Cet article aborde le phénomène inverse : la mise en oeuvre exagérée du droit international. Une telle mise en oeuvre se produit lorsque les autorités nationales adoptent des mesures qui vont au-delà de ce qu’exige le droit international. Un bon exemple de ce phénomène est la mise en oeuvre fédérale des traités dans le domaine des marchés publics. Depuis les années 1980, le Canada a ratifié plus d’une douzaine d’accords commerciaux contenant des dispositions relatives aux marchés publics. Cependant, dans sa mise en oeuvre de ces traités, le gouvernement fédéral canadien est allé au-delà de ce que ceux-ci exigent. Le gouvernement fédéral a ouvert ses marchés publics aux fournisseurs venant d’autres pays qui n’agissent pas de façon réciproque. La mise en oeuvre est également renforcée par un tribunal administratif, le Tribunal canadien du commerce extérieur (TCCE). La législation qui habilite le TCCE lui confère des pouvoirs plus importants que ceux qu’un tel tribunal doit avoir, selon les traités. Sa compétence s’étend aux marchés publics non couverts par les traités. Et le TCCE a offert des protections que les traités n’exigent pas, comme la possibilité d’indemnités calculées selon les profits perdus.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.883
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.022
GPT teacher head0.239
Teacher spread0.217 · 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 designNot applicable
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
Published2024
Admission routes2
Has abstractyes

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