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Record W2141146119 · doi:10.7202/032357ar

Mens sana ad corpus sanum : Un modèle de motivation-stress-santé appliqué au couple et au travail

2007· article· fr· W2141146119 on OpenAlexaffvenue
Marc R. Blais, Ursula Heß, Julie Bourbonnais, Julie Saintonge, Andrea S. Riddle

Bibliographic record

VenueSanté mentale au Québec · 2007
Typearticle
Languagefr
FieldHealth Professions
TopicHealth, psychology, and well-being
Canadian institutionsInstitut Universitaire en Santé Mentale de QuébecUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesPsychologyPhilosophy

Abstract

fetched live from OpenAlex

L'article prend position au sujet du vieil adage: « un esprit sain dans un corps sain ». Des recherches empiriques démontrent qu'avoir un "corps sain dans un esprit sain" est tout aussi important. L'accumulation d'évidences empiriques souligne l'impact des stresseurs psychosociaux sur les affects négatifs et sur la santé mentale de même que leurs répercussions sur la santé physique. En plus, le construit de la motivation et les besoins innés d'autodétermination, de compétence et d'attachement jouent un rôle crucial dans la compréhension des antécédents et des conséquences du stress psychologique, ainsi que du bien-être et de la santé. Un nouveau modèle théorique, bilan de plus de dix ans de travaux théoriques, méthodologiques et empiriques, est appliqué à deux domaines de vie importants : la relation de couple et le travail.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.086
Threshold uncertainty score0.172

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.004
Scholarly communication0.0040.003
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0160.001

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 head0.042
GPT teacher head0.369
Teacher spread0.327 · 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 designObservational
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

Citations11
Published2007
Admission routes2
Has abstractyes

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