Bibliographic record
Abstract
Nombreux sont les étudiants bloqués au stade de la juxtaposition des savoirs de référence et qui recourent au copier-coller comme stratégie d'écriture. Cette forme de plagiat correspond, dans la communauté anglosaxonne, à la notion de patchwriting , néologisme construit sur le terme patchwork ou art de coudre ensemble des pièces de tissus disparates. Il s'agit, explicitement, d'une écriture sans planification. Une partie du problème est attribuable aux difficultés qu'éprouvent un grand nombre d'étudiants universitaires de premier cycle et des cycles supérieurs à écrire autrement qu'en restituant (souvent par juxtaposition) des connaissances acquises au hasard de la lecture de documents divers d'inégales valeurs. En regard de cette pratique scripturale, cet article examine l'approche préconisée par trois universités de langue anglaise (USA et Canada) et trois universités canadiennes de langue française pour aider les étudiants à se détourner du patchwriting et à entrer dans la littéracie universitaire.
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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.033 | 0.007 |
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".