Repenser les suppositions concernant la survivance au cancer
Bibliographic record
Abstract
<p class="p1">Un nombre croissant de recherches s’appuyant sur des théories et des méthodes des sciences sociales et humaines indique que certains messages problématiques sous-tendent fréquemment les représentations populaires et oncologiques du cancer. En prenant davantage conscience de ces messages sous-jacents, les cliniciens pourront améliorer la manière dont ils abordent et prennent en charge le cancer. (Remarque : Une réponse écrite au présent article composée par Truant, Kohli & Stephens (2014), Réponse à « Repenser les suppositions concernant la survivance au cancer » : une perspective de la discipline infirmière, est publiée dans la Revue canadienne de soins infirmiers en oncologie p. 178) <p class="p1">Mots clés : cancer; survivance; sciences sociales; sciences humaines
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".