Lessons in Living and Dying from My First Patient: An Autoethnography
Bibliographic record
Abstract
BACKGROUND: This study examines the challenges and rewards of a fieldwork student's first encounter with death in a clinical setting and describes occupational interventions that affirm the life of a client preparing for death. PURPOSE: To explore meanings, challenges, and lessons of end-of-life care for an occupational therapy fieldwork student. METHODS: A qualitative format, autoethnography, was used to develop a narrative that reveals the lived experience of a fieldwork student. FINDINGS. Findings include a description of what a fieldwork student was and was not able to accomplish in end-of-life care. The paper describes using self-care activities to normalize and cede control of end-of-life care to the client and developing a vision of how to help clients find closure. IMPLICATIONS: The study carries implications for students and therapists working in end-of-life care. Therapists and educators can draw from this study to better understand and support new therapists when patients die.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".