Is feyerabendian philosophy relevant for scientific knowledge development in nursing?
Bibliographic record
Abstract
To revitalize nursing science, there is a need for a new approach to guide nurse scientists in addressing complex problems in health care. By applying theoretical concepts from a revolutionary philosopher of science, Paul K. Feyerabend, new nursing knowledge can be produced using creativity and pluralistic approaches. Feyerabend proposed that methods within and outside of science can produce knowledge. Despite the recognition of Feyerabendian philosophy within science, there is currently a lack of literature regarding the relevance of Feyerabendian philosophy for nursing science. We aim to (a) describe and critique Feyerabendian concepts, (b) discuss the potential application of Feyerabendian philosophy for knowledge production within gerontological nursing and (c) describe theoretical possibilities for nurse scientists in using Feyerabendian philosophy to guide nursing knowledge development. We begin by introducing Feyerabend's life and his inspirations for his theoretical concepts, epistemological anarchism, theoretical pluralism and humanitarianism, and conclude by offering suggestions of how to apply Feyerabendian philosophy in nursing research.
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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 | 0.037 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.007 | 0.080 |
| Scholarly communication | 0.011 | 0.015 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.008 | 0.010 |
| Insufficient payload (model declined to judge) | 0.002 | 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".