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Record W4396591909 · doi:10.1017/cls.2024.1

Le recours aux modes alternatifs de règlement des conflits : une exploration au prisme d’une analyse des coûts humains et financiers de la justice

2024· article· fr· W4396591909 on OpenAlexafffundabout
Dalia Gesualdi‐Fecteau, Maxine Visotzky-Charlebois, Johanne Clouet, Chloé Leclerc, Arianne Morin-Aubut

Bibliographic record

VenueCanadian Journal of Law and Society / Revue Canadienne Droit et Société · 2024
Typearticle
Languagefr
FieldEconomics, Econometrics and Finance
TopicLaw, Economics, and Judicial Systems
Canadian institutionsMental Health Commission of Canada
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Résumé Les modes alternatifs de règlement des conflits s’inscrivent dans une volonté de transformation de l’organisation de la justice en cherchant à régler « autrement » les litiges judiciarisés. L’émergence de ces modes répond également aux impératifs de la nouvelle gouvernance publique, où les questions de l’efficacité et de la célérité de la justice deviennent cardinales. Ces modes alternatifs exigent que les parties y participent volontairement. Or, les justiciables composent avec certaines contraintes subjectives qui se répercutent sur leur motivation à s’engager sur la voie d’un mode alternatif de règlement des conflits. À partir de données empiriques, ce texte présente de quelle façon les coûts humains et financiers qu’assument les justiciables sont susceptibles de se répercuter sur leur décision de s’engager sur une telle voie, laquelle découle généralement de l’atteinte d’un point de rupture par rapport à ces coûts. Cette recherche, effectuée au Québec, fait état de la situation en droit civil, en droit criminel et en droit administratif.

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)0.003
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.980
Threshold uncertainty score0.408

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0050.023
Scholarly communication0.0130.005
Open science0.0010.003
Research integrity0.0020.003
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 head0.039
GPT teacher head0.271
Teacher spread0.231 · 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

Citations1
Published2024
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Journal of Law and Society / Revue Canadienne Droit et SociétéSame topicLaw, Economics, and Judicial SystemsFrench-language works237,207