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Record W1586343880 · doi:10.7202/1024571ar

Le développement professionnel en soins infirmiers

2014· article· fr· W1586343880 on OpenAlexvenueno aff
Mehdi Boudjaoui, Luisa Guitard Sein-Echaluce, María Sánchez Fernández, Teresa Torner Benet

Bibliographic record

VenueÉducation et francophonie · 2014
Typearticle
Languagefr
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Même si plusieurs réformes ont été mises en place ces dernières années, la professionnalisation de l’université en Espagne est souvent remise en question dans des rapports d’expertise internationale. Pourtant, dans ce même contexte, les formations infirmières se distinguent par une longue tradition de coopération avec le monde professionnel, d’orientation pratique des curriculums et d’ouverture vers une forme d’alternance. En fondant notre analyse sur le principe d’une distinction entre une offre de formation et ses usages effectifs, nous nous sommes posé la question des effets de ces dispositifs sur le développement professionnel d’étudiants infirmiers. À partir d’une recherche collaborative menée en Espagne dans une faculté en sciences infirmières, nous avons mis en évidence les dynamiques professionnalisantes induites par un dispositif. Au-delà de l’influence de variables contextuelles, ces conjectures éclairent les conceptions que l’on peut avoir de l’objet « formation en alternance ».

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)0.008
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.052
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0050.005
Scholarly communication0.0040.004
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0140.002

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 head0.066
GPT teacher head0.416
Teacher spread0.350 · 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 designNot applicable
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

Citations1
Published2014
Admission routes1
Has abstractyes

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