Hope Tree: An Interactive Art Installation to Facilitate the Expression of Hope in a Hospice Setting
Bibliographic record
Abstract
BACKGROUND: Individuals confronting a terminal illness can experience intense psychological distress. Previous research has shown that hope can enhance one's ability to acknowledge, accept, and fight a terminal illness. Patients can continue to have hope or be hopeful, even in the face of a terminal illness. Can participation in a creative writing practice improve the expression of hope in a hospice setting? METHODS: In this program evaluation, each expressed hope placed on the "Hope Tree" was independently coded by all research team members utilizing inductive content analysis. Overall themes were derived using a constant comparative approach and arranged into overarching themes based on consensus. RESULTS: Eight major themes emerged from the data: "Peace," "Dreams," "Total well-being," "Acknowledgment of loss," "Relationships," "Hospice care," "Spirituality," and "Dichotomies." CONCLUSION: The Hope Tree is a creative art project that can be used within a hospice environment to promote hope among family members and the health-care professionals who care for patients.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.025 | 0.002 |
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".