Caring for the caregivers: Innovative program for oncology nurses
Bibliographic record
Abstract
Un programme innovateur, Care for the Professional Caregiver [ci-après appelé Prendre soin des soignants professionnels ], a été élaboré pour donner aux infirmières de chevet d’un programme de lutte contre le cancer l’occasion d’apprendre comment faire face au stress dans l’exercice de leur travail. Le programme a été évalué par des méthodes quantitatives et qualitatives. Les résultats démontrent clairement les bénéfices du programme tant à court terme qu’à long terme. Le fait de nouer des liens profonds avec d’autres infirmières en oncologie, de se soutenir mutuellement et d’échanger des récits sur leurs expériences au travail a été profitable aux infirmières sur les plans personnel, professionnel et collectif. Le programme a atteint ses objectifs, et on recommande la poursuite de sa mise en oeuvre.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".