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Record W3130282133 · doi:10.5216/revufg.v20.67079

Deaf mental health: enhancing literacy through a hearing and deaf community collaboration

2020· article· en· W3130282133 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueRevista UFG · 2020
Typearticle
Languageen
FieldPsychology
TopicHearing Impairment and Communication
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsMental healthMental health literacyDeaf educationMetropolitan areaPsychologyDeaf cultureLiteracyNarrativeMental illnessMedical educationPsychiatryMedicinePedagogySign languageLinguistics

Abstract

fetched live from OpenAlex

This article explores the process through which findings of a doctoral study became the impetus for the development of a Deaf Mental Health Committee and two community-based events intended to enhance the mental health literacy of the Deaf community in a large metropolitan city in central Canada. The author, a hearing professional and University professor has provided professional counselling services to clients including those who are Deaf and hard of hearing, and conducted a number of studies in and with the Deaf community. Her doctoral study reported on the experience and narratives of a sample of Deaf adults diagnosed with Major Depressive Disorder. Participant narratives highlighted gaps in understanding of mental health and mental illness. A goal of enhancing mental health literacy in the Deaf community developed into the establishment of a Deaf Mental Health Committee. This article presents the successes of that Deaf and hearing collaboration.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.872
Threshold uncertainty score0.508

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 studies0.0000.000
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 head0.082
GPT teacher head0.400
Teacher spread0.319 · 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