Correlates of explicit and implicit stigmatizing attitudes of Canadian undergraduate university students toward mental illness: A cross-sectional study
Bibliographic record
Abstract
Objective To assess explicit and implicit attitudes toward mental illness of undergraduate students and explore associated variables. Participants: Year 1–4 undergraduate students from a large Canadian university (n = 382). Methods: Participants completed demographics, the Opening Minds Scale for Healthcare Providers, and an Implicit Association Test. Two-tailed independent and paired-samples t-tests, and ANOVA were performed with significance level at p < .05. Results: About 67.5% self-reported having experienced a mental illness and 31.2% had been diagnosed. Lower explicit stigma was associated with females, those with a history of mental illness diagnosis, and those who have had a close relationship with someone experiencing a mental illness. Faculty of Social Sciences students had significantly lower explicit stigma scores than Faculty of Engineering students. Implicit stigma did not show significant associations with any factors. Conclusions: A high proportion of undergraduate students experience mental illness. Increased exposure and experience were associated with reduced explicit stigma.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".