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Record W3148767603 · doi:10.3917/rsi.087.0004

L'intégration de la promotion de la santé au sein de la discipline infirmière

2006· article· fr· W3148767603 on OpenAlexaff
Martine Longtin, Lucie Richard, Annie Bisaillon

Bibliographic record

VenueRecherche en soins infirmiers · 2006
Typearticle
Languagefr
FieldHealth Professions
TopicSchool Health and Nursing Education
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

La promotion de la santé est une des nombreuses stratégies que sont appelées à mettre en œuvre les infirmières. Or, les écrits et l’expérience sur le terrain suggèrent que le déploiement de ce type d’intervention n’est encore souvent que partiel. Une revue détaillée des écrits montre qu’une telle affirmation est prématurée et ce, pour trois raisons : 1) l’intégration de la promotion de la santé au sein des pratiques infirmières a été peu étudiée empiriquement, 2) des définitions du terme promotion émanant des sciences infirmières figurent parmi les plus citées et 3) ces définitions intègrent souvent des éléments du discours contemporain. L’écart entre le discours et la pratique effective des infirmières en promotion de la santé est examiné en discussion. L’analyse conclut à l’existence d’un pluralisme paradigmatique au sein de la discipline infirmière ; une situation s’expliquant par l’ampleur du champ couvert. Quelques recommandations et enjeux sont abordés.

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)0.018
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.098

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.017
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0080.017
Scholarly communication0.0120.008
Open science0.0020.012
Research integrity0.0050.008
Insufficient payload (model declined to judge)0.0070.001

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 head0.156
GPT teacher head0.542
Teacher spread0.386 · 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 designTheoretical or conceptual
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

Citations9
Published2006
Admission routes1
Has abstractyes

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