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Record W3163852477 · doi:10.7202/1076907ar

Noli me tangere : affiner le régime québécois d’immunité de saisie pour les objets culturels

2021· article· fr· W3163852477 on OpenAlexvenueaboutno aff
F. Le Moine

Bibliographic record

VenueMcGill Law Journal · 2021
Typearticle
Languagefr
FieldEarth and Planetary Sciences
TopicArchaeological Research and Protection
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Afin d’encourager la présentation d’expositions au Québec, l’article 697 du Code de procédure civile permet de protéger contre les saisies les oeuvres d’art et les autres biens culturels ou historiques prêtés de l’étranger. Cette disposition (alors l’article 553.1 de l’ancien Code de procédure civile ) fut introduite en 1976 afin de permettre la tenue, à Montréal, d’une importante exposition en provenance de l’URSS. Depuis, de nombreux États se sont dotés de mesures de protection comparables et l’article 697 est fréquemment employé pour protéger les oeuvres d’art et objets culturels lors de leur passage au Québec. Cependant, la jurisprudence étrangère révèle que ces mécanismes ne sont pas exempts de failles. Plus de quarante ans après l’adoption au Québec de cette disposition d’insaisissabilité, et à la lumière des développements internationaux, la présente étude se propose de dresser un bilan de l’emploi de cette disposition, d’évaluer ses défauts ainsi que de formuler des propositions afin de renforcer son efficacité et de permettre son emploi dans d’autres contextes que ceux jusqu’ici envisagés par le législateur.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.115
Threshold uncertainty score0.277

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.006
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0110.001

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 head0.044
GPT teacher head0.256
Teacher spread0.212 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2021
Admission routes2
Has abstractyes

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