Tracking the Success of English Language Learners within the Context of the Ontario Secondary School Literacy Test
Bibliographic record
Abstract
The study tracked 8 high school English Language Learners (ELLs) from 2 Ontario secondary schools located in small Ontario cities for 3 years and closely documented their linguistic, cognitive, and socio-cultural learning experiences. Each student was visited 2-4 times per year and face-to-face interviews were used on each visit. It was found that these students‘ difficulties in academic English were the major challenge to their success in their high school subject-area courses and in the Ontario Secondary School Literacy Test (OSSLT). These challenges, in turn, affected their educational goals. The findings of this study provide a rich understanding of these students‘ educational achievement as they concurrently learned English and their subject-area courses within the context of the OSSLT—a large-scale high-stakes literacy test. Cette étude recense trois années d‘expériences d‘apprentissage linguistiques, cognitives et socio culturelles de huit allophones d‘anglais langue seconde (ALS) issus de deux écoles secondaires situées dans des petites villes de l‘Ontario. Chaque étudiant a été interviewé en face à face deux à quatre fois par an. Les résultats montrent que la difficulté majeure de ces étudiants est l‘apprentissage de l‘anglais académique et que cet apprentissage détermine leur succès dans tous les autres cours au niveau du lycée et au Test Provincial des Compétences Linguistiques (TPCL) de l‘Ontario. Ce défi affecte également leurs objectifs éducatifs. Les résultats de cette étude montrent non seulement les performances éducatives de ces étudiants en ALS mais aussi dans leurs autres cours dans le cadre du TPCL, un test à enjeux élevés.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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; 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".