Bibliographic record
Abstract
This study explores the variations in the academic trajectories of socio-demographic subgroups of English as a second language (ESL) students (N = 7527) in British Columbia, Canada. Results are compared to a native English speaker baseline (N = 37,612). Longitudinal data describing the 1997 Grade 8 cohort (i.e., students age 13, typically in their first year of secondary school) were obtained from the British Columbia Ministry of Education. Students are disaggregated by English proficiency, language spoken at home, and socio-economic status to indicate, through cross-tabulations and multivariate regression models, the effects of these variables on graduation and on enrolment and performance in senior-level English and mathematics courses associated with university entrance. Results are interpreted through a framework adapted from Cummins (1997). Ethnocultural background, as proxied by language spoken at home, predicts trajectories robustly; an indicator of socio-economic status only partially attenuates its effects. Background factors such as English proficiency affect different ethnocultural groups differently. The variation under the ESL label and the need to disaggregate data for decision-making purposes are discussed.
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".