Reimagined connection: New possibilities for virtual mental health support for children and youth of public safety personnel affected by operational stress injuries
Bibliographic record
Abstract
LAY SUMMARY Young people in public safety personnel (PSP)-connected families are affected by the distinctive stress related to having a parent with mental health issues, including operational stress injuries (OSIs) and the existing strain connected to the COVID-19 pandemic. This increased vulnerability makes it important to be innovative in opportunities for prevention in the PSP community. After reviewing available resources aimed at helping young people affected by a parental OSI, the authors uncovered a gap in prevention and intervention programs accessible to all Canadian PSP families. A new virtual six-week program offered to Canadian young people in military and PSP families affected by an OSI creates potential for developing resilience. The online platform opens access to young people who may be isolated from joining a traditional face-to-face mental health support program with peers. The virtual program aims to empower young people in their knowledge of mental health and enable them to learn about the complex nature of parental OSIs, such as posttraumatic stress disorder. More research on this program is needed to ensure interventions created for this target population are effective in the Canadian context and meet the unique needs of PSP-connected young people.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 0.001 |
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".