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Record W2575477172 · doi:10.1177/0829573516688596

Preparing for the Classroom: Mental Health Knowledge Improvement, Stigma Reduction and Enhanced Help-Seeking Efficacy in Canadian Preservice Teachers

2017· article· en· W2575477172 on OpenAlexafffundabout
Wendy Carr, Yifeng Wei, Stan Kutcher, Amy L. Heffernan

Bibliographic record

VenueCanadian Journal of School Psychology · 2017
Typearticle
Languageen
FieldPsychology
TopicMental Health Treatment and Access
Canadian institutionsIzaak Walton Killam Health CentreDalhousie UniversityUniversity of British Columbia
FundersDalhousie University
KeywordsMental health literacyMental healthStigma (botany)PsychologyHelp-seekingMedical educationLiteracyMental illnessKnowledge levelPsychiatryPedagogyMedicineMathematics education

Abstract

fetched live from OpenAlex

Mental health literacy is fundamental to improving knowledge about mental health, decreasing stigma, and, therefore, enhancing help-seeking behaviors. The purpose of this cohort study is to evaluate the impact of a mental health literacy program on preservice teachers’ knowledge, attitudes, and help-seeking efficacy. Sixty preservice teachers in a Canadian university participated in a professional development day and completed a survey of their mental health knowledge, attitudes toward mental illness, and help-seeking efficacy. Compared with baseline data, results demonstrated significant and substantial improvements on all three outcomes immediately following the session and after 3 months. Provision of mental health literacy education among preservice teachers may be an effective approach to help them better address student mental health needs in their future teaching career.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.799
Threshold uncertainty score1.000

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 studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.061
GPT teacher head0.423
Teacher spread0.362 · 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.

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

Citations61
Published2017
Admission routes3
Has abstractyes

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