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Record W3162652809 · doi:10.3917/rsi.144.0054

Le sentier en spirale du développement du savoir infirmier : l’apport de la proposition de Reed

2021· article· fr· W3162652809 on OpenAlexaff
Sylvie Rey, Clémence Dallaire

Bibliographic record

VenueRecherche en soins infirmiers · 2021
Typearticle
Languagefr
FieldHealth Professions
TopicHealth, Medicine and Society
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsPerspective (graphical)PropositionEpistemologySociologyProcess (computing)PhilosophyHumanitiesComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

This article presents Reed’s perspective on the development of nursing knowledge. Her concept is embedded in the perspective of intermodernism. For Reed, intermodernism is a philosophy for nursing science and practice and thus represents a way of looking at the content, structure, and process of scientific theory. Reed presents her concept in the form of a spiral path composed of the philosophical, practical, and theoretical dimensions of nursing knowledge. After an overview of Reed’s perspective, we offer an illustration of her proposal with Lawler’s theoretical development of somology. Lawler’s development pathway can be used to incorporate the components of Reed’s spiral path in a meaningful way. The discussion shows how Reed’s concept can improve the description and understanding of a nursing knowledge development process. Finally, the article provides a rare summary of Reed’s work in French.

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)0.007
metaresearch head score (Gemma)0.015
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 score0.019
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.015
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.002
Science and technology studies0.0040.025
Scholarly communication0.0100.016
Open science0.0010.007
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0040.001

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 head0.180
GPT teacher head0.463
Teacher spread0.283 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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