Peut-on favoriser l’inclusion sociale des jeunes par l’utilisation des médias sociaux?
Bibliographic record
Abstract
Les jeunes présentant une déficience intellectuelle (DI) vivent souvent de l’exclusion sociale. Ils semblent avoir un réseau d’amis très restreint, surtout à la fin de leur scolarisation. Or, l’utilisation des technologies de l’information et de la communication (TIC), et notamment celle des médias sociaux, favorise la participation sociale et le développement de liens familiaux ou amicaux. Les jeunes qui présentent une DI profitent-ils de cette technologie? Les TIC permettent-elles à ces jeunes de bénéficier d’un meilleur réseau de soutien personnel et social? Cette recension des écrits tente de répondre à cette question, et révèle que : 1) les TIC ne sont pas accessibles pour tous; et 2) l’utilisation des médias sociaux augmente les risques d’abus et de cybervictimisation.
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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.014 | 0.010 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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; both teacher heads agree on what is shown here.
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".