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Record W4367668227 · doi:10.1111/nin.12558

“Recovery” in mental health services, now and then: A poststructuralist examination of the despotic State machine's effects

2023· article· en· W4367668227 on OpenAlexaff
Jim A. Johansson, Dave Holmes

Bibliographic record

VenueNursing Inquiry · 2023
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMental healthPsychologyState (computer science)PsychotherapistComputer science

Abstract

fetched live from OpenAlex

Recovery is a model of care in (forensic) mental health settings across Western nations that aims to move past the paternalistic and punitive models of institutional care of the 20th century and toward more patient-centered approaches. But as we argue in this paper, the recovery-oriented services that evolved out of the early stages of this liberating movement signaled a shift in nursing practices that cannot be viewed only as improvements. In effect, as "recovery" nursing practices became more established, more codified, and more institutional(ized), a stasis developed. Recovery had been reterritorialized. The purpose of this paper is to examine some of the threads of recovery, from its early days of antipsychiatry activism to its codification into mental health-including forensic mental health-institutions through the lens of poststructuralist philosophers Gilles Deleuze and Felix Guattari. We believe that Deleuze and Guattari's scholarship provides the necessary, albeit uncomfortable, framework for this critical examination. From a conceptualization of recovery as an assemblage, we critically examine how we can go about creating something new, caught in a tension between stasis and change.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.597
Threshold uncertainty score0.398

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.083
GPT teacher head0.406
Teacher spread0.323 · 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 designObservational
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

Citations11
Published2023
Admission routes1
Has abstractyes

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