The Hospice Teen Volunteer Program at The Hospice of the Florida Suncoast
Bibliographic record
Abstract
In May 2000, The Hospice of the Florida Suncoast was honored with the Circle of Life Award from the American Hospital Association. The Hospice of the Florida Suncoast is a large organization with an average daily census of 1,250 patients; currently 2,800 volunteers serve in a range of programs. Located in Pinellas County, Florida, where a quarter of the population is 65 years old or older, this hospice is unusual in the degree to which they have collaborated successfully with a wide variety of community institutions to integrate care of the dying into the life of the community. The focus of the following interview is on their efforts to recruit high school students to support the activities of the hospice in a variety of ways. Hospice Volunteer Partnership Programs Coordinator Sandra Mahood, who directs the Hospice Teen Volunteer (HTV) Program, describes the challenges of recruiting and retaining teens as well as the benefits to teens and patients when this partnership succeeds. Begun in 1994, the Florida Suncoast HTV program is unique in its size and scope, with more than 250 adolescent volunteers. One of the secrets to these high numbers has been the successful collaboration with special programs in area high schools, which require service-learning in order to graduate. At those schools, students benefit from monthly, student-run hospice council meetings with inservices and opportunities to meet with other teens who are volunteering as a sanctioned after-school activity. All teen volunteers are linked to staff volunteer coordinators who run optional intergenerational monthly volunteer support meetings. Teens who do not attend high schools with existing programs depend on monthly phone calls with the volunteer coordinator as their main means of support. This interview is excerpted from a thematic issue, "Teen Hospice Volunteers: Intergenerational Approaches to Hospice," Volume 2, Number 4, 2000 of the online journal Innovations in End-of-Life Care at www.edc.org/lastacts/
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.029 | 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".