Des ressources en ligne pour les jeunes en deuil : un projet innovant
Bibliographic record
Abstract
Cet article partage les résultats d’une étude menée auprès de jeunes en deuil. La mort, qui survient dans une étape de la vie déjà lourde de mutation, vient frapper le jeune dans son psychisme et dans sa vie quotidienne. Des ressources ont déjà été identifiées pour aider les professionnels de l’Éducation nationale à soutenir des élèves qui traversent un deuil. À partir de ces ressources, l’étude a eu pour but de repérer celles qui sont aidantes pour le jeune, comment et à quelles conditions. Quatre groupes de discussion – avec 13 jeunes en deuil et 28 témoins – et des entretiens téléphoniques avec des jeunes endeuillés ont fait émerger des propositions intéressantes sur ces outils et la manière de les proposer. Les jeunes ont exprimé leur reconnaissance pour l’intérêt porté sur ce sujet et la volonté de les impliquer dans la réflexion.
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 | 0.016 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.012 | 0.004 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".