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Record W2897401078 · doi:10.3917/ctf.061.0039

La participation de l’enfant dans le processus de médiation familiale

2018· article· fr· W2897401078 on OpenAlexaff
Amandine Baude, Sylvie Drapeau, Caroline Robitaille

Bibliographic record

VenueCahiers critiques de thérapie familiale et de pratiques de réseaux · 2018
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Policies and Family
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Même si le nombre de séparations et de divorces est plutôt stable depuis quelques années, la structure des familles post-séparation continue à se diversifier. La séparation est une période critique pour les membres de la famille qui peut comporter des défis, notamment sur le plan de la résolution des conflits et du maintien des relations. À cet effet, il existe plusieurs services destinés aux parents qui se séparent, dont la médiation familiale. Parce que les besoins de l’enfant sont au cœur du processus de médiation familiale, des acteurs s’interrogent sur la place réelle qu’on doit lui accorder dans ce processus. L’inclusion de l’enfant dans la médiation familiale est appelée à se développer dans les prochaines années si l’on conjugue évolution du statut de l’enfant dans la société et dans les législations et réalité du vécu des parents séparés en conflits. Mais les médiateurs familiaux sont-ils prêts à investir cette nouvelle forme de pratique ? Quels sont les avantages et enjeux de cette pratique ?

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)0.009
metaresearch head score (Gemma)0.015
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 score0.033
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.025
Scholarly communication0.0060.006
Open science0.0010.006
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.019
GPT teacher head0.347
Teacher spread0.329 · 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
Published2018
Admission routes1
Has abstractyes

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