ÉDITORIAL – COLLABORATION SPÉCIALE : En route vers le changement : les infirmières en oncologie prennent les devants
Bibliographic record
Abstract
Le thème de la conférence 2017 de l’ACIO/CANO, En route vers le changement : les infirmières en oncologie prennent les devants, a ouvert la voie à la réflexion sur les façons dont les infirmières en oncologie travaillent à transformer le système de soins contre le cancer pour le rendre plus équitable et davantage axé sur la personne, ses besoins et ceux de sa famille. Notre cheminement en tant qu’association et le positionnement des infirmières en oncologie en tant que contributrices clés dans la prestation de soins de qualité au Canada ont été solidement étayés par le leadership exemplaire dont nous avons fait preuve au cours des trois dernières décennies.
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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 | 0.009 | 0.055 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.017 | 0.020 |
| Insufficient payload (model declined to judge) | 0.023 | 0.010 |
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".