Death Anxiety and Death Competency: The Impact of a Palliative Care Volunteer Training Program
Bibliographic record
Abstract
Before and immediately after the 2 most recent offerings of a local palliative care volunteer training program, 17 participants completed the Collett-Lester Fear of Death Scale and Bugen's Coping with Death Scale. The training program consisted of approximately 27 hours of training presented in 3-hour blocks during a 9-week period. Topics included the philosophy and goals of palliative care, spiritual issues from a multi-cultural and multifaith perspective, communication, the dying process, grief and bereavement, and the role of the volunteer. The results showed no differences in participants' pretraining and posttraining scores on the 4 subscales of the Fear of Death Scale. However, participants felt significantly more able to cope with death and dying after the training program than before. With proper training, volunteers will feel more prepared to handle situations involving terminal illness and death. In short, they will be more effective in their work with dying patients and their families.
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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 | 0.003 |
| 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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".