Experiencing death and dying during a global pandemic at the Rotary Hospice House in Prince George
Bibliographic record
Abstract
This practicum report is a summary of my experience at the Prince George Rotary Hospice House and a reflection upon the death and dying process during a global pandemic. Aspects of my practicum report are explored via a literature review, time spent at Hospice House and self-reflection on my personal and professional framework. My experience at Hospice House provided me the opportunity to witness death and dying in a home-like environment with full supportive care where the focus was always the guest and family. During this practicum I had the opportunity to wholeheartedly connect with people as they transition into another phase of life while I also supporting families during this difficult time. A common theme that provided comfort to the hospice care team was that perhaps the dying person was transitioning into a beautiful world where their family and friends await their arrival. The knowledge I gained from this practicum will continue to support my professional practice in acute care, where death and dying are predominate. As I continue my social work journey I am reminded of being open-hearted, being present in the moment with people as they are in pain, and acknowledged that being a part of someone’s dying journey is an honour.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.005 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.008 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".