Building the science of health promotion practice from a human science perspective
Bibliographic record
Abstract
AbstractWhile health promotion is widely acknowledged as a practice field where multidisciplinary teamwork is important, within nursing's discipline‐specific literature, a strong argument can be discerned regarding the profession's belief that it has a clear and unique role to play in that field. Yet rarely is this unique role, how it arises, and specifically how its effects are to be demarcated, attended to within the discipline‐specific literature. Two philosophical perspectives on science are presented and we demonstrate the extent to which these two perspectives influence nursing scholarship, including nursing practice within the field of health promotion. We then go on to argue that, for nurses to sustain their claim to a unique and important contribution within health promotion, clear articulation of the philosophical premises underpinning practice methodologies is warranted. Specifically we argue the importance of such clarity within the context of an analysis of the discourse of multidisciplinary practice as a strategy for avoiding confronting the ways in which bio‐medical authority has already significantly demarcated how health promotion practice can proceed.
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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 | 0.050 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.002 |
| Science and technology studies | 0.006 | 0.137 |
| Scholarly communication | 0.019 | 0.016 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.008 | 0.013 |
| 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".