Dissocier allophonie et vulnérabilité : de la nécessité d’interroger les catégories
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This contribution questions the creation of categories of students as established by the French-speaking Belgian education authorities (Fdration Wallonie-Bruxelles, FWB) concerning the schooling of newcomers. More precisely, we are asking if the link established by these authorities doesn't create an amalgam between newcomer students and these students called vulnerable; they are supposedly linked together by the fact that they do not master the language of instruction, or French as the language of learning (franais langue d'apprentissage, FLA). While these categories and the links they create between the students are based on a global and laudable objective of helping the schooling of newcomer students, we think that these categories and the links they create reinforce the negative perception people often have of this public and does not sufficiently recognise the diversity of the schooling public as a whole. We therefore argue for a dissociation between "allophones" and vulnerable students.
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.
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 | 0.001 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it