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Record W7074564124

L’infirmière praticienne, un rôle parfaitement adapté à la pratique des soins palliatifs : étude descriptive qualitative

2019· article· fr· W7074564124 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2019
Typearticle
Languagefr
FieldPhysics and Astronomy
TopicTheoretical and Computational Physics
Canadian institutionsnot available
Fundersnot available
KeywordsPalliative careAllianceDescriptive researchPrimary health care
DOInot available

Abstract

fetched live from OpenAlex

L’approche des soins palliatifs consiste à s’occuper avec bienveillance des personnes souffrant de maladies menaçant leur vie, afin de maintenir la meilleure qualité de vie qui soit (Hawley, 2017). Cela implique : une gestion efficace des symptômes pour régler les manifestations physiologiques des maladies; des interventions pour promouvoir le mieux-être social, spirituel et émotionnel des patients et de leurs familles; des soins en fin de vie de haut niveau pour maintenir les patients dans le confort et la dignité à l’approche de la mort (Organisation mondiale de la Santé, 2011; Worldwide Palliative Care Alliance [WPCA], 2014). On recommande les soins palliatifs non seulement pour le cancer, mais aussi pour les maladies chroniques menaçant la vie, comme l’insuffisance cardiaque ou rénale ou diverses maladies neurologiques (Hawley, 2017). Vu la prévalenfigurece élevée et la hausse prévue des maladies chroniques, non seulement au Canada, mais aussi dans le monde entier, le besoin de soins palliatifs est déjà grand et le sera encore plus dans l’avenir (Association canadienne des soins palliatifs [ACSP], 2014; Agence de la santé publique du Canada, 2016; WPCA, 2014).

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)0.015
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.022
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0040.005
Scholarly communication0.0050.005
Open science0.0020.004
Research integrity0.0010.003
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 head0.174
GPT teacher head0.513
Teacher spread0.339 · 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 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

Citations0
Published2019
Admission routes1
Has abstractyes

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