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Record W2955296136 · doi:10.25071/2291-5796.18

The Indispensability of Critique: Reflections on Bearing Witness to Mental Health Discourse

2019· article· en· W2955296136 on OpenAlexaffvenue
Simon Adam, Cheryl van Daalen‐Smith, Linda Juergensen

Bibliographic record

VenueWitness The Canadian Journal of Critical Nursing Discourse · 2019
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsYork University
Fundersnot available
KeywordsWitnessVariety (cybernetics)Mental healthMental health nursingSociologyEpistemologyHegemonyNursingPsychologyMedicinePolitical scienceLawPsychotherapistPoliticsPhilosophyComputer science

Abstract

fetched live from OpenAlex

Reflecting on two mental health examples from our practice, we demonstrate how in the instances that critique is absent, the results can be catastrophic. Drawing on Foucauldian theory, we propose the idea of critique, known as the vigilant tempering of governance (or the ‘conduct of conduct’). We advance that critique is an indispensable health resource for the practicing mental health nurse and for nursing more broadly, without which nursing risks participating in the reproduction of hegemonic discourses and practices. Critique, in this paper, is theorized as a tool to be included in the nurse’s repertoire, that which can unlock a variety of ontological and epistemological possibilities. We discuss some reasons why nursing critique is constrained and offer questions for further reflection and critical consideration.

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)0.046
metaresearch head score (Gemma)0.098
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: Commentary · Consensus signal: Commentary
Teacher disagreement score0.094
Threshold uncertainty score0.328

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0460.098
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0060.005
Science and technology studies0.0690.163
Scholarly communication0.0280.018
Open science0.0060.024
Research integrity0.0190.028
Insufficient payload (model declined to judge)0.0030.001

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 head0.146
GPT teacher head0.514
Teacher spread0.368 · 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
GenreCommentary

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

Citations3
Published2019
Admission routes2
Has abstractyes

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