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Record W6967978870 · doi:10.5281/zenodo.14714161

Modes d'intervention en situation de conflits (MISC) afin d'améliorer l'accès à la justice des citoyen.ne.s

2025· article· fr· W6967978870 on OpenAlexaffabout

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicLegal Systems and Institutions
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsEconomic JusticeLegislationWork (physics)Law enforcement

Abstract

fetched live from OpenAlex

La REL liée aux modes d’intervention en situation de conflits (MISC) vise à inventorier et décrire l’ensemble de la vaste offre de justice disponible, dans une vision holistique et interdisciplinaire de la gestion des conflits. Le projet MISC réalise cet objectif en développant un manuel pédagogique en évolution continue, constitué de connaissances concrètes sur les MISC disponibles gratuitement, sous licence libre. Les étudiant.e.s en droit accèdent gratuitement à une expertise essentielle à leur future profession disponible en un seul lieu. L’originalité du projet repose sur la création d’instruments de connaissances et d’orientation pour répondre aux besoins des juristes d’aujourd’hui et de demain qui conseillent les citoyen.ne.s en première ligne dans la résolution de leurs conflits. Pour citer ce site et les documents qu'il contient: Belleau, Marie-Claire (2025). Modes d’intervention en situation de conflits (MISC) afin d’améliorer l’accès à la justice des citoyen.ne.s. Université Laval. fabriqueREL. Sous Licence CC BY 4.0 International

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.912
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0040.002
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.007

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 head0.027
GPT teacher head0.260
Teacher spread0.233 · 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; both teacher heads agree on what is shown here.

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
Published2025
Admission routes2
Has abstractyes

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Same venueZenodo (CERN European Organization for Nuclear Research)Same topicLegal Systems and InstitutionsFrench-language works237,207