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Record W4283458628 · doi:10.1177/17456916211072826

Leveraging the Strengths of Psychologists With Lived Experience of Psychopathology

2022· article· en· W4283458628 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.

Bibliographic record

VenuePerspectives on Psychological Science · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicMental Health and Psychiatry
Canadian institutionsUniversity of GuelphWestern University
FundersNational Institute of Mental HealthNational Institutes of Health
KeywordsPsychopathologyPsychologyLived experienceInclusion (mineral)PsychotherapistClinical psychologySocial psychology

Abstract

fetched live from OpenAlex

Psychopathology is a common element of the human experience, and psychological scientists are not immune. Recent empirical data demonstrate that a significant proportion of clinical, counseling, and school psychology faculty and graduate students have lived experience, both past and present, of psychopathology. This commentary compliments these findings by leveraging the perspectives of the authors and signatories, who have personal lived experience of psychopathology, to improve professional inclusivity in these fields. By "coming out proud," the authors aim to foster discussion, research, and inclusion efforts as they relate to psychopathology experiences in psychological science. To that end, the authors describe considerations related to disclosure of lived experience, identify barriers to inclusion, and provide concrete recommendations for personal and systemic changes to improve recognition and acceptance of psychopathology lived experience among psychologists.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.430
Threshold uncertainty score0.998

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 studies0.0010.005
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.074
GPT teacher head0.377
Teacher spread0.303 · 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