Exploring the Impacts of an Art and Narrative Therapy Program on Participants’ Grief and Bereavement Experiences
Bibliographic record
Abstract
Grief and bereavement impact nearly every individual at some point of their lives, often having short or long-term physical and psychosocial impacts. Yet, these issues are rarely the focus of discussion, intensive therapy programs, or policy initiatives (Corr, 2002; Doka, 2002). This research explores the impacts of a closed group art and narrative therapy program in Ontario for individuals experiencing a grief or bereavement process following the loss of a loved one. It explores the grief experiences of art therapy participants during their time in the program, the nature, extent, and impacts of social and community connections that were made, how the program influenced grief over time, and the overall effectiveness of the program. This study suggests that art and narrative therapy hold great therapeutic potential as a tool to help individuals going through a grief or bereavement process.
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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 | 0.000 | 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 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".