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Record W4413988334 · doi:10.3917/rsi.161.0050

La fatigue liée au virus de l’immunodéficience humaine

2025· article· fr· W4413988334 on OpenAlexaff
M. Hardy, Martine Dallaire, Nisrine Moubarak, Hatem Laroussi, Elizabeth Bernardino

Bibliographic record

VenueRecherche en soins infirmiers · 2025
Typearticle
Languagefr
FieldHealth Professions
TopicHealthcare Systems and Practices
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHuman immunodeficiency virus (HIV)VirologyMedicine

Abstract

fetched live from OpenAlex

Dans le paysage évolutif des soins infirmiers, la gestion de la douleur postopératoire est toujours d’actualité. Cet article propose d’explorer l’application de la chronothérapie dans le traitement de la douleur aigüe, telle qu’elle est conceptualisée par la théorie d’Auvil-Novak. En prenant pour point de départ une situation clinique, cet article offre un éclairage inédit sur une approche temporelle de l’administration des analgésiques. Cette démarche illustre l’importance d’une pratique infirmière fondée sur la théorie, démontrant comment l’intégration des théories infirmières peut enrichir la réflexion clinique et ouvrir de nouvelles perspectives pour améliorer la qualité des soins postopératoires.

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)0.005
metaresearch head score (Gemma)0.013
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: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.005
Scholarly communication0.0040.003
Open science0.0010.002
Research integrity0.0020.003
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 head0.498
GPT teacher head0.605
Teacher spread0.107 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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