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Record W2001114374 · doi:10.3917/riges.353.0041

Le coaching compatissant, allié de la santé et du renouveau

2010· article· fr· W2001114374 on OpenAlexaffvenue
Richard E. Boyatzis, Melvin L. Smith, Ellen B. Van Oosten

Bibliographic record

VenueGestion · 2010
Typearticle
Languagefr
FieldNeuroscience
TopicPain Management and Placebo Effect
Canadian institutionsMusée de la Civilisation
Fundersnot available
KeywordsHumanitiesCoachingPsychologyPhilosophyPsychotherapist

Abstract

fetched live from OpenAlex

Résumé Le coaching est une relation. Si cette relation parvient à éveiller les systèmes psychophysiologiques sains d’une personne, elle aidera celle-ci à s’ouvrir à de nouvelles possibilités, à croître et à se renouveler. De quelle manière? En enclenchant un ensemble de processus neuronaux et endocriniens qui permettent à l’organisme de se reconstruire. Voilà ce qu’on appelle le coaching compatissant. Il implique que le coach ressent de la compassion à l’égard de la personne coachée qui, en règle générale, en éprouve également. Lorsque les gens maintiennent ce type de relation fondée sur l’empathie et la compassion, le coaching peut se révéler très efficace et donner lieu à un changement souhaité et durable, ainsi qu’à une meilleure santé et à un mieux-être général. À la fin de l’article, les implications du coaching compatissant sont soulignées et des recommandations sont faites à l’intention des dirigeants, des gestionnaires, des conseillers et des professionnels des ressources humaines désireux de recourir au coaching compatissant pour établir un climat plus propice à l’innovation et au mieux-être, pour les autres et pour eux-mêmes.

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)0.007
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: Other · Consensus signal: Other
Teacher disagreement score0.016
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.009
Scholarly communication0.0050.003
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0140.001

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 head0.012
GPT teacher head0.287
Teacher spread0.275 · 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
GenreOther

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

Citations2
Published2010
Admission routes2
Has abstractyes

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