Nursing Best Practice Guidelines: reflecting on the obscene rise of the void
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
AIM(S): Drawing on the work of Jean Baudrillard and Michel Foucault, the purpose of this article is to critique the evidence-based movement [and its derivatives - Nursing Best Practice Guidelines (NBPGs)] in vogue in all spheres of nursing. BACKGROUND: NBPGs and their correlate institutions, such as the Registered Nurses' Association of Ontario (RNAO) and 'spotlight' hospitals, impede critical thinking on the part of nurses, and ultimately evacuate the social, political and ethical responsibilities that ought to distinguish the nursing profession. EVALUATION: We contend that the entire NBPG movement is based on the illusion of scientific truth and a promise of ethical care that cannot be delivered in reality. We took as a case study the Registered Nurses' Association of Ontario (RNAO), in the province of Ontario, Canada. KEY ISSUES: NBPGs, along with the evidence-based movement upon which they are based, are a dangerous technology by which healthcare organizations seek to discipline, govern and regulate nursing work. CONCLUSION(S): Despite the remarkable institutional promotion of 'ready-made' and 'ready-to-use' guidelines, we demonstrate how the RNAO deploys BPGs as part of an ideological agenda that is scientifically, socially, politically and ethically unsound. Implications for nursing management Collaborations between health care organizations and professional organizations can become problematic when the latter dictate nursing conduct in such a way that critical thinking is impeded. We believe that nurse managers need to understand that the evidence-based movement is the target of well-deserved critiques. These critiques should also be considered before implementing so-called 'Nursing Best Practice Guidelines' in health care milieux.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it