Gadamer’s ‘apologia for the art of healing’: an application to gerontological nursing practice
Bibliographic record
Abstract
This paper will discuss Hans-George Gadamer's 'The Enigma of Health' Chapter 2, 'Apologia for the Art of Healing's (1965). In this chapter, Gadamer defends the art of healing as essentially an ability to reproduce and re-establish the health of an ill person. He considers modern medicine's progressive reliance on technology as mechanical rather than an art of healing. In support of this concept, I will also refer to Gadamer's Chapter 6, 'Between Nature and Art' and briefly to Beardsworth's 'Practices of Procrastination'. First, I will discuss the above works showing how the authors make their arguments and what conclusions they draw, and then I will relate these arguments and conclusions to nursing, gerontological nursing in particular.
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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 | 0.008 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.049 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.010 | 0.011 |
| 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".