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Record W3122803442 · doi:10.7202/1073841ar

La prise en considération des émotions en médiation : une intervention essentielle et délicate

2020· article· fr· W3122803442 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueLes Cahiers de droit · 2020
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicLegal Systems and Institutions
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPhilosophyPolitical science

Abstract

fetched live from OpenAlex

Tout conflit étant émotif, l’expression des émotions dans le contexte d’une médiation constitue une étape cruciale dans ce mode amiable de règlement des conflits. Les émotions peuvent, en effet, favoriser le processus de règlement en procurant un meilleur éclairage à la nature du conflit, autant qu’elles peuvent le freiner en empêchant le dialogue entre les parties. Dans son intervention, le médiateur est appelé à les prendre en considération, à en favoriser l’expression constructive et à les gérer. À cet égard, il doit faire preuve d’une grande intelligence émotionnelle et préserver la neutralité de son rôle complexe. Cette forme d’intelligence mérite d’être développée dès les études de droit où les émotions sont étonnamment évacuées des programmes universitaires et de l’école professionnelle. Pareille approche implique rien de moins qu’une redéfinition du rôle de l’avocat, intervenant sensible aux émotions, à l’écoute de l’autre et recentré sur la relation d’aide dans une perspective non adversative.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.929
Threshold uncertainty score0.949

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.014
GPT teacher head0.236
Teacher spread0.222 · 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