Academic achievement of minority home language students with special education needs in English language of instruction and French immersion programs
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
Abstract This study explored the academic achievement of students who speak a minority language (ML) at home (i.e., a language other than the official languages of Canada, English and French) and who have special education needs (SEN), in two educational programs that differed in language of instruction: English language of instruction (ELoI), and Early French Immersion (EFI). The proportion of students ( n = 131) meeting the provincial standard in reading, writing, and mathematics and the effect of gender, place of birth, socio-economic status, English proficiency level, and program were analyzed. Writing was the strongest domain, followed by reading and mathematics. ML-SEN students were equally likely to meet the provincial standard whether in ELoI or EFI, and there were few significant predictors of achievement. Participating in EFI did not increase students’ risk of academic difficulty. Additional supports may be beneficial to ML-SEN students in ELoI and EFI programs.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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