Les aspects juridiques de la pratique infirmière en pharmacie
Bibliographic record
Abstract
This text is an analysis of nursing in private practice in drugstores of the province of Quebec. Throughow this study , the author explains the current state of nursing practice in the abovee-mentioned context and explores the legal questions and obligations that arise from this particular field of work. There are two parts to this essay. The first part starts with nursing practice in general and follows through with a study of how compatible are its rules and regulations With the particular context of work in a drugstore. Two points are detailed, the first is the possibility for the nurse to perform delegated medical acts outside of the usual institutional context and its legal impacts. The second is the need for clarification of the extent of domain exclusivity in the practice of certain professionals by the legislator with special attention to the current overlapping of responsibilities that occur in a pharmacy. The second part reviews the various aspects of nursing practice in drugstores by concentrating on th e legal rules of practice as they apply to this specific context. The author ends by highlighting the problems of nurses with regards to their practice, exploring the pros and cons of potential solutions and concludes by indicating that there is a need to adapt the current, institution-oriented legal framework to a more diversified and decentralized model of nursing that takes into account the new realities of modern practice, most notably in drugstore nursing.
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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 | 0.013 | 0.034 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.012 | 0.008 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.024 | 0.002 |
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".