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Grand manuel de psychologie positive

2021· book-chapter· fr· W4285418144 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.

Bibliographic record

VenueDunod eBooks · 2021
Typebook-chapter
Languagefr
FieldPsychology
TopicPsychological Well-being and Life Satisfaction
Canadian institutionsCollège Montmorency
Fundersnot available
KeywordsHumanitiesPsychologyPhilosophy

Abstract

fetched live from OpenAlex

Les discours sur la santé mentale ont souvent porté davantage sur les maladies mentales. D’ailleurs, la santé mentale fut longtemps comprise comme la simple absence de trouble mental. Or, dans une perspective de prévention, de développement des compétences de résilience et de la qualité de vie, il est utile de s’appuyer sur une description positive des caractéristiques de la santé psychologique. Ce chapitre présente différentes conceptions et modèles permettant d’appréhender et de mesurer la santé mentale dite « positive ». Les différentes composantes du modèle de Keyes sur le bien-être subjectif et le niveau de fonctionnement psychologique et social sont décrites, ainsi que l’approche processuelle permettant de mettre en évidence des mécanismes sous-jacents au bien-être durable. Il est possible de favoriser la santé mentale positive en agissant sur des processus tels que la flexibilité psychologique et l’autocompassion. Enfin, une contribution possible des interventions de psychologie positive aux politiques publiques de promotion de la santé est proposée.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.859
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0090.005

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 head0.053
GPT teacher head0.336
Teacher spread0.283 · 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