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Record W2547901255 · doi:10.1177/1475725716666804

Addressing Mental Illness Stigma in the Psychology Classroom

2016· article· en· W2547901255 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

VenuePsychology Learning & Teaching · 2016
Typearticle
Languageen
FieldPsychology
TopicMental Health Treatment and Access
Canadian institutionsLakehead University
FundersMental Health Commission
KeywordsStigma (botany)Mental illnessPsychological interventionMental healthPsychologySocial stigmaSocial psychologyPsychiatryMedicineFamily medicine

Abstract

fetched live from OpenAlex

A number of initiatives are aimed at reducing mental illness stigma, yet stigma remains a problem in the general population. A focus on stigma reduction with students is particularly relevant, as students often hold negative attitudes toward mental illness, have regular contact with persons experiencing mental health difficulties, and because stigma influences students’ own help-seeking attitudes and behaviors. The psychology classroom presents an ideal opportunity to address stigma, since many courses include mental health-related topics and are taken by large numbers of students from diverse fields. This paper undertook a review of the published literature to determine the extent that knowledge and/or contact-based strategies to address stigma were implemented in the psychology classroom; successful interventions are described and contextualized within the larger stigma reduction literature. Recommendations for instructors who are interested in integrating an anti-stigma approach in their classroom include (1) consider a social contact-based approach, (2) look locally for resources, (3) be familiar with optimal conditions for contact, and (4) evaluate your outcomes.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.717
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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 science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.095
GPT teacher head0.462
Teacher spread0.367 · 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