CONJ • RCSIO Summer/Été 2012 175doi:10.5737/1181912x223175181
Bibliographic record
Abstract
Nursing theories provide inspiration for practice by describing how to meet needs, enhance wellness, and respond to clients as whole per-sons. This paper discusses the McGill Model of Nursing with reference to how its ideas can support nursing practice for patients with can-cer during the end-of-life phase. We suggest this model provides for a relational approach that is congruent with the philosophy of pal-liative care. The goal of this paper is to stimulate reflection amongst oncology nurses and nursing leaders. By comparing the value base of our practice against extant nursing theory, we may discover new opportunities for teaching and learning about what it means to be an end-of-life care nurse. “If we allow this next generation of nurses to discard the relevance of nursing theory, a worry that has been expressed by recent observers, we may place the profession at considerable risk for losing its centre
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.718 | 0.473 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".