Exploration des pratiques de littératie en milieu familial et portrait démolinguistique d’élèves immigrants allophones nouvellement arrivés en situation de grand retard scolaire au Québec
Bibliographic record
Abstract
As in most metropolises throughout the world, the influx of migrants has completely altered the look of schools in Quebec’s larger cities. Among the immigrant children recently registered in Quebec schools, a number had not previously received or completed regular schooling. The case of pupils in a delayed schooling situation is still a misunderstood reality: we know little about them, especially their literacy development. However, in Quebec, successful reading acquisition in French as a second language is a sine qua non condition to school achievement and, therefore, represents a major challenge for these learners. It thus seems important to gather data on delayed schooling learners so as to enhance our knowledge of them and of their parents, and better understand home literacy practices and other demolinguistic variables related to success in reading acquisition. The objectives of this exploratory study are to trace a demolinguistic portrait of the parents and the children in such a situation; to present a synthesis of the declared literacy practices of these immigrant pupils; and to complete the portrait by exposing, in an exploratory fashion, the expectations and the perceptions of these parents towards schooling. The study was based on a questionnaire which was completed by 10 parents of pupils in a delayed school situation, and by 72 parents of regular allophone pupils recently registered in the primary or secondary level.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".