CAPO and CANO joining forces to advance a national psychosocial oncology advocacy agenda.
Bibliographic record
Abstract
Patient advocacy remains a key priority within the Canadian Association of Psychosocial Oncology (CAPO) and the Canadian Association of Nurses in Oncology (CANO). Optimizing collaboration across advocacy organizations, institutions, and other stakeholders is timely as we enter an era where patients and their caregivers' voices are front and centre. In this paper, we report on ongoing efforts to advance patient advocacy - broadly defined as processes and behaviours related to proactively supporting a cause - herein specific to cancer care. Through active partnering, both organizations are well positioned to push for a representative and inclusive national psychosocial oncology advocacy agenda.
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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 | 0.022 | 0.040 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.021 | 0.006 |
| Scholarly communication | 0.013 | 0.006 |
| Open science | 0.003 | 0.018 |
| Research integrity | 0.013 | 0.018 |
| Insufficient payload (model declined to judge) | 0.030 | 0.004 |
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".