Death and the Flesh: A Mental Health Nurse’s Interpretation of the Film Departures
Bibliographic record
Abstract
This paper was originally written for a hermeneutic research course where I interpreted Yojiro Takita’s (2008) film Departures. I outline an interpretation of death that I came to after viewing the film, discussing death as a form of “unsettling.” Death unsettles by revealing life’s impermanence which is often concealed in everyday life. We may be reminded of it through the death of another. As per Heidegger, when we are perturbed by life’s finitude, we may be driven to action. Subsequently, death discloses life’s grotesqueness. Hidden within the vitality of life is the inevitable decay of the flesh. For some, this may trigger a sense of disgust. As people who work closely with death, nurses learn ways to manage their disgust. However, this experience may not apply to mental health nurses. I end this paper by reflecting on my own experience as a mental nurse, questioning if my choice of specialty is perhaps related to the avoidance of death and the flesh. Keywords: death, hermeneutics, interpretation, film, mental health nursing, existential, disgust
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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 | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.019 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.004 | 0.014 |
| Insufficient payload (model declined to judge) | 0.003 | 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".