A Study of the Motivations of British Hospice Volunteers
Bibliographic record
Abstract
In all, 162 British hospice volunteers completed the Inventory of Motivations for Hospice Palliative Care Volunteerism (IMHPCV) of Claxton-Oldfield, Wasylkiw, Mark, and Claxton-Oldfield.(1) The IMHPCV taps into 5 different categories of motives for becoming a hospice palliative care volunteer: altruism, civic responsibility, leisure, self-promotion, and personal gain. Altruistic motives were the most influential reasons for choosing to join hospice; personal gain motives were the least influential reasons for becoming a hospice volunteer. Altruistic motives were found to be a significant predictor of volunteers' length of service to the hospice. Compared to previously collected data from a sample of Canadian hospice palliative care volunteers,(1) the current study's sample of British hospice volunteers scored significantly different on 2 of the 5 categories of motives on the IMHPCV.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".