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Record W4404081297 · doi:10.1163/30504856-00201010

Analyse Comparative / Comparative Perspectives

2012· article· en· W4404081297 on OpenAlexaboutno aff
Catherine Piché

Bibliographic record

VenueInternational journal of procedural law. · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicComparative and International Law Studies
Canadian institutionsnot available
Fundersnot available
KeywordsComparative methodPhilosophyLinguistics

Abstract

fetched live from OpenAlex

Proportionality in private law is subject to changing and contextual interpretations. It is enshrined in procedural laws around the world, implicitly or expressly, as a principle or policy. It has become a fundamental principle of civil procedure around the world. Accordingly, it is critical to law reform discussions here and elsewhere. In this article, proportionality is defined in the context of its historical evolution, and of the ways in which it has been applied in different legal traditions. Specifically, its codification provided in the Canadian province of Quebec is discussed, in its innovative Art. 4.2 of the Quebec Code of Civil Procedure. Th e value of proportionality is considered as a fundamental principle of procedural law, and the relevance and viability of certain reform ideas and perspectives are debated. The article concludes by insisting upon a certain evolution and change in culture of the principle, a broader and more generous interpretation of this principle, and an important revamping of the ethics and professional liability codes.

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)0.004
metaresearch head score (Gemma)0.006
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: Empirical · Consensus signal: none
Teacher disagreement score0.078
Threshold uncertainty score0.194

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0070.009
Science and technology studies0.0080.023
Scholarly communication0.0090.007
Open science0.0010.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0190.001

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 head0.094
GPT teacher head0.431
Teacher spread0.336 · 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
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

Citations1
Published2012
Admission routes1
Has abstractyes

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