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Record W2048572585 · doi:10.3917/rsi.113.0043

Contribution des sciences infirmières au développement des savoirs interprofessionnels

2013· article· fr· W2048572585 on OpenAlexaff
Karine Bilodeau, Sylvie Dubois, Jacinthe Pépin

Bibliographic record

VenueRecherche en soins infirmiers · 2013
Typearticle
Languagefr
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsCentre Hospitalier de l’Université de MontréalUniversité de Montréal
Fundersnot available
KeywordsHumanitiesSociologyPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Les professionnels de la santé sont appelés à travailler en interprofessionnalité pour assurer une qualité des soins aux patients. Plusieurs études explorent la pratique et la formation interprofessionnelles. Cependant, les connaissances développées portent surtout sur le travail d’équipe et le contexte organisationnel. Certains cadres de référence incluent la notion « centré sur le patient » pour mettre en évidence la contribution du patient mais son apport à la pratique interprofessionnelle y est peu détaillé. Considérant que les sciences infirmières possèdent une solide expertise quant à une pratique professionnelle centrée sur le patient, il est possible de croire que ce savoir disciplinaire puisse influencer les nouvelles approches collaboratives. L’article a pour but de faire état des connaissances quant à la pratique interprofessionnelle et à la pratique infirmière centrée sur le patient. Nous mettons en évidence la contribution des sciences infirmières au développement des savoirs interprofessionnels, cohérents avec une pratique centrée sur le patient et donc inspirés des valeurs infirmières.

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 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)0.009
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.255
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0050.004
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0100.006

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 head0.291
GPT teacher head0.527
Teacher spread0.236 · 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; both teacher heads agree on what is shown here.

Study designQualitative
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

Citations14
Published2013
Admission routes1
Has abstractyes

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