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Record W2150619568 · doi:10.26522/ssj.v6i1.1070

“Recovering our Stories”: A Small Act of Resistance

2012· article· en· W2150619568 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueStudies in Social Justice · 2012
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsToronto Metropolitan UniversityYork UniversityUniversity of Toronto
Fundersnot available
KeywordsAppropriationNarrativeResistance (ecology)PoliticsMental healthSociologyConsumption (sociology)PsychologyPublic relationsPolitical scienceLawPsychiatrySocial scienceLiterature

Abstract

fetched live from OpenAlex

This paper describes a community event organized in response to the appropriation and overreliance on the psychiatric patient “personal story” within mental health organizations. The sharing of experiences through stories by individuals who self-identify as having “lived experience” has been central to the history of organizing for change in and outside of the psychiatric system. However, in the last decade, personal stories have increasingly been used by the psychiatric system to bolster research, education, and fundraising interests. We explore how personal stories from consumer/survivors have been harnessed by mental health organizations to further their interests and in so doing have shifted these narrations from “agents of change” towards one of “disability tourism” or “patient porn.” We mark the ethical dilemmas of narrative cooptation and consumption, and query how stories of resistance can be reclaimed not as personal recovery narratives but rather as a tool for socio-political 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.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.334
Threshold uncertainty score0.627

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 head0.492
GPT teacher head0.540
Teacher spread0.048 · 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