Conférence Schering 2002 : Les enfants atteints du cancer et leur vécu des symptômes de la maladie: le soutien spirituel aux enfants et à leur famille
Bibliographic record
Abstract
Madame Woodgate a puisé les fondements de cette conférence, et donc de cet article, dans l’étude qu’elle avait menée pour sa thèse de doctorat de 2001. Durant la dernière phase de ses études de doctorat et la préparation de sa thèse, Mme Woodgate a bénéficié de bourses de recherche pour étudiants au doctorat du Programme national de recherche et de développement en matière de santé (PNRDS: Canada), de la Pat Scorer Fellowship (Winnipeg Children’s Hospital Foundation of Manitoba Inc.), de la bourse Maurice Legault en sciences infirmières dans le domaine du cancer (Canada) et de la Toronto Sick Children’s Hospital Fellowship: Canadian Nurses Doctoral Student Study Award.
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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 | 0.005 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.007 | 0.009 |
| Insufficient payload (model declined to judge) | 0.027 | 0.003 |
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".