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Record W1970401830 · doi:10.3917/rsi.116.0006

Vers une approche pluraliste en sciences infirmières

2014· article· fr· W1970401830 on OpenAlexaff
Évy Nazon, Amélie Perron

Bibliographic record

VenueRecherche en soins infirmiers · 2014
Typearticle
Languagefr
FieldHealth Professions
TopicHealthcare Systems and Practices
Canadian institutionsAgriculture and Agri-Food CanadaAssociation of Universities and Colleges of CanadaUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesSociologyPhilosophy

Abstract

fetched live from OpenAlex

Depuis de nombreuses années, les infirmières participent à l’avancement des connaissances au sein de la profession. Des théories aux modèles conceptuels, plusieurs ont proposé leur vision sur la façon d’atteindre cet objectif. Par-delà la diversité et les divergences d’opinions, des conceptions monistes et pluralistes se dégagent de leur prise de position. Utilisant les théories des sociétés closes et ouvertes de Karl Popper (1979) et la définition du pluralisme de McLennan (1995), cette étude plaide en faveur du pluralisme en sciences infirmières. Le pluralisme offre la possibilité aux infirmières chercheuses de combiner leurs recherches à d’autres théories, d’autres concepts, d’autres approches et d’autres disciplines pour permettre une analyse plus poussée et une perspective plus large de la discipline infirmière. Cette étude représente une réflexion théorique sur la recherche en sciences infirmières qui va dans le sens de l’interdisciplinarité.

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)0.058
metaresearch head score (Gemma)0.035
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 score0.058
Threshold uncertainty score0.306

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0580.035
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0070.005
Science and technology studies0.0120.039
Scholarly communication0.0210.029
Open science0.0040.016
Research integrity0.0110.013
Insufficient payload (model declined to judge)0.0080.002

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 head0.429
GPT teacher head0.562
Teacher spread0.133 · 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

Citations7
Published2014
Admission routes1
Has abstractyes

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