Self-reflection and screening mental health on Canadian campuses: validation of the mental health continuum model
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.
Bibliographic record
Abstract
BACKGROUND: This study describes the psychometric testing of the Mental Health Continuum (MHC) model the Canadian Department of National Defense developed initially, among undergraduates of three Canadian universities. The MHC is a tool that consists of 6 items to guide students the way to attend to, or monitor, signs and behavior indicators of their mental health status and suggest appropriate actions to improve their mental health. METHODS: Online survey data were collected from 4206 undergraduate students in three universities in two Canadian provinces during the spring of 2015 and winter of 2016. Participants completed an online survey questionnaire that consisted of the MHC questionnaire, the Kessler Psychological Distress Scale (K-10), and demographic information, including age, gender, and year of study. RESULTS: Factor analysis using the principal components method followed by a two-step internal replication analysis showed that the MHC tool was two-dimensional and that all six domains assessed were crucial. The construct (convergent) validity of the MHC tool was tested against the K-10, and the correlation analysis results were strong overall, as well as within subgroups defined by gender, year of study, and university. CONCLUSIONS: The MHC is a useful tool that helps college students reflect on and enhance their mental health.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 it