Who is coming through the door? A national survey of self‐reported problems among post‐secondary school students who have attended campus mental health services in Canada
Bibliographic record
Abstract
Abstract Objective Considerable evidence has accumulated pointing to a wide array of mental health problems experienced by students attending post‐secondary schools. Yet, much less attention has been focused on understanding who actually accesses mental health services on post‐secondary campuses. Methods The current study reports on a national survey of 8,248 students attending 41 post‐secondary campuses across Canada who have accessed their schools' mental health services. The survey solicited self‐reported problems among attendees of campus mental health services. Descriptive statistics (means, frequencies) were utilised to summarise responses to items relating to psychological symptoms, suicidal and self‐injurious behaviours, stress, impediments to academic performance, and future mental health help seeking. Results Respondents reported very high levels of stress, with approximately 95% indicating being overwhelmed (n = 7,863) and exhausted (n = 7,803). More than 80% of respondents conveyed feeling very sad (n = 7,200), overwhelming anxiety (n = 6,892) and very lonely (n = 6,670). One quarter (26.1%; n = 2,146) had considered suicide. The most frequently endorsed impediments to academic performance included stress, anxiety, depression and sleep, with nearly three‐quarters (73%; n = 6,018) of respondents indicating that academic work has been traumatic or very difficult to handle. Conclusion The findings of this survey provide a clearer picture of the types of issues that are brought forth by students who avail themselves of campus mental health services, thus enabling such services to better tailor their offerings to the needs of their clientele.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".