The role of philosophy in the development and practice of nursing: Past, present and future
Bibliographic record
Abstract
This article summarizes a virtual live-streamed panel event that occurred in August 2020 and was cosponsored by the International Philosophy of Nursing Society (IPONS) and the University of California, Irvine's Center for Nursing Philosophy. The event consisted of a series of three self-contained panel discussions focusing on the past, present and future of IPONS and was moderated by the current Chair of IPONS, Catherine Green. The first panel discussion explored the history of IPONS and the journal Nursing Philosophy. The second panel involved a reflection on the challenges of doing nursing philosophy in a research-intensive context of a Canadian university and the history and current movements in nursing philosophy in the Nordic countries. The final panel involved presentations on the future potential for philosophy in/and for nursing, the critical connections between nursing philosophy and nursing theory, dismantling racism in nursing and the potential for process philosophy to help explore nursing's unique efficacy in creating possibilities for health. The panels were followed by a lively Q&A session with participants, of which there were 252 registrants from across the globe. The event underscored the wide and diverse interests of nurses in philosophical discussion and the need for more virtual events and other connective modalities bringing nurses together to discuss and analyze the value and potential of philosophy to better understand and advance nursing theory and practice.
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 | 0.033 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.051 |
| Scholarly communication | 0.021 | 0.019 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.004 | 0.010 |
| Insufficient payload (model declined to judge) | 0.002 | 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".