Creating Space for Grief: Development of Evidence-Informed Bereavement Support Program for Post-Secondary Students
Bibliographic record
Abstract
Abstract: Sixty percent of students experience the death of a close person at some point in their post-secondary studies. This life stage is characterized by cognitive, academic, social, physical, emotional, and identity-related stressors which together may also intensify grief. Importantly, post-secondary students' unique needs may not be addressed by community grief supports focused on serving children, youth, and families/caregivers; most are faced with limited grief-specific supports available on campus. This leaves many post-secondary students to navigate the challenges of their grief alone. A stakeholder informed bereavement support group entitled "Creating Space for Grief (CSG)" was developed at a mid-sized Canadian university. Grounded in the specific developmental needs of post-secondary students, the group content emphasizes evidence-based therapeutic support, peer connectedness, and sense of belonging among bereaved students. This article describes the development, content, and implementation of CSG, with aims to inform similar initiatives to support the needs of bereaved students across other campuses.
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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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".