MétaCan
Menu
Back to cohort
Record W4409602158 · doi:10.18192/aporia.v17i1.7160

Reconnaissance et actions politiques d’infirmières québécoises : une analyse féministe

2025· article· fr· W4409602158 on OpenAlexfundvenueaboutno aff
Mélie-Jade Lynch-Bérard, Patrick Martin

Bibliographic record

VenueAporia · 2025
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
FundersRéseau de recherche portant sur les interventions en sciences infirmières du QuébecUniversité Laval
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

La reconnaissance conférée aux infirmières qui exercent en secteurs des soins spécialisés au Québec est peu documentée dans les écrits. Le but de cette étude visait à explorer leurs expériences de reconnaissance vécues au quotidien, la façon dont ces expériences se répercutent sur leurs conditions d’exercices, en plus d’explorer les actions individuelles et collectives qu’elles mobilisent ou souhaiterait mobiliser pour transformer le statu quo et obtenir la reconnaissance qu’elles méritent. Cette étude qualitative inductive qui s’inscrivait de plein fouet dans la théorie critique a permis la combinaison de réflexions théoriques féministes et postmodernes. Un total de n=6 entrevues semi-dirigées ont été réalisées pour cette section d’un projet qualitatif plus large de n=21 participantes (projet central). Au terme de cette étude, il apparait que ces infirmières vivent différentes contraintes ayant pour effets de dégrader considérablement leurs conditions d’exercice. Elles sont conscientes de l’importance d’agir politiquement pour transformer les choses et pour prendre la place qui leur revient dans la sphère sociale, mais subissent notamment des contraintes au déploiement de leurs actions.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: none
Teacher disagreement score0.758
Threshold uncertainty score0.907

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.092
GPT teacher head0.431
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 teacher head, 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

Citations0
Published2025
Admission routes3
Has abstractyes

Explore more

Same venueAporiaSame topicSocial Sciences and GovernanceFrench-language works237,207