Soins oncologiques aux Territoires du Nord-Ouest
Bibliographic record
Abstract
Situés au nord du 60(e) parallèle, les Territoires du Nord-Ouest (TNO) sont l’un des trois territoires du Canada. L’Administration des services de santé et des services sociaux des Territoires du Nord-Ouest (ASTNO), créée en 2016 pour regrouper les administrations régionales existantes à l’époque, constitue la plus vaste administration de santé du territoire. J’œuvre à titre d’infirmière en oncologie aux TNO depuis mes débuts dans le métier il y a 11 ans. Pendant cette période, l’équipe de soins oncologiques de l’ASTNO s’est agrandie et a travaillé dur pour accroître l’accès à des ressources de soutien et à des soins cohérents, coordonnés et de grande qualité, ce qui a grandement amélioré l’expérience et l’état de santé des patients ténois atteints de cancer. Le présent article raconte l’évolution des soins oncologiques et de la navigation des patients aux TNO.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".