Nursing Philosophy 2016, response to Peter Allmark's article, “Aristotle for Nursing”
Bibliographic record
Abstract
Preparing to lecture on Aristotle's contribution to Nursing at the International Philosophy of Nursing Conference August 22, 2016, in Quebec City, Quebec, Canada, I came upon the recently published article by my IPONS colleague, Allmark (2016), "Aristotle for Nursing." Allmark (2016) provides a comprehensive and understandable overview of Aristotle's philosophical system including the substantial nature of being and the four causes of change. Nurses using Aristotle to support practice and theoretical research will benefit from a careful reading of Allmark to enrich their use of the realist understanding of knowledge of nature (epistemology) and the matter-form causal relationships within natural being (ontology and teleology). Allmark carefully displays the distinction between good health and flourishing; a distinction sometimes hard to grasp. Nurses are concerned with the end of health, but cannot achieve for others, the fullness of living which is flourishing. We will limit ourselves to expanding three areas that seem important, first, that nursing is much more than a productive science or craft, second, that Aristotle does provide an important note on the persistence of the soul, and, third, while Aristotle does not address the possibility of a personal creative highest being as Allmark says, his references to the divine are worth considering.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.012 | 0.017 |
| Insufficient payload (model declined to judge) | 0.009 | 0.006 |
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".