Patient Advocacy and Professional Associations: individual and collective responsibilities
Bibliographic record
Abstract
Professions have traditionally treated advocacy as a collective duty, best assigned to professional associations to perform. In North American nursing, advocacy for issues affecting identifiable patients is assigned instead to their nurses. We argue that nursing associations' withdrawal from advocacy for patient care issues is detrimental to nurses and patients alike. Most nurses work in large institutions whose internal policies they cannot influence. When these create obstacles to good care, the inability of nurses to affect change can result in avoidable distress for them and for their patients. We illustrate this point with a case study: the circumstances of the death of Michael Joseph LeBlanc, an inmate at Kingston Penitentiary Regional Hospital (Ontario). We conclude that patient and their nurses will suffer unnecessarily unless or until nursing associations cease to burden individual nurses with the responsibility for patient advocacy.
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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 | 0.034 | 0.040 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.017 | 0.062 |
| Scholarly communication | 0.017 | 0.012 |
| Open science | 0.001 | 0.016 |
| Research integrity | 0.010 | 0.010 |
| Insufficient payload (model declined to judge) | 0.007 | 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".