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Record W4400194631 · doi:10.3917/rsi.156.0007

Models for designing health-oriented nursing practice: Contributions to nursing practice and the nursing discipline

2024· article· fr· W4400194631 on OpenAlexaff
Serge Daneault

Bibliographic record

VenueRecherche en soins infirmiers · 2024
Typearticle
Languagefr
FieldArts and Humanities
TopicMental Health and Psychiatry
Canadian institutionsPrairie Women's Health Centre of ExcellenceUniversité de SherbrookeUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Health generally represents what nurses should strive for in their practice. However, due to their general nature, the definitions of health are problematic for designing a health-oriented nursing practice. Rather than attempting to design it through a conceptual definition of what health is, some authors from the human sciences suggest using models that allow for a concrete commitment to health. Although this avenue is little explored in nursing, it is suggested that these practice-oriented health models would make it possible to design actionable mechanisms that generate health through practices, like nursing. The objective of this article is, through existing practice-oriented health models, to propose actionable mechanisms of health-oriented nursing practice. By invoking two models, from the writings of the philosopher Nordenfelt, as well as the sociologist Venkatapuram, two illustrations are proposed, both of which allow us to propose different actionable mechanisms. Anchored in the values that support a health-oriented practice, as well as in a descriptive component, this reflection highlights the potential of such models to concretely pursue a health-oriented nursing practice. These proposals appear to be promising for the participation of nursing science in the transdisciplinary understanding of health.

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)0.011
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.606
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0010.002
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.207
GPT teacher head0.515
Teacher spread0.308 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreMethods

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
Published2024
Admission routes1
Has abstractyes

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