Variability of ESL Learners' Acquisition of Cognitive Academic Language Proficiency: What Can We Learn From Achievement Measures?
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
With the revamping of the Canada Immigration Act in 1985, the demographic profile of new arrivals to Canada took a marked shift to place a priority on better educated, business-class immigrants. Most of these immigrants are from the Pacific Rim, and they have high expectations for the academic achievement of their children in the Canadian school system. The purpose of this study was to look at age on arrival and first-language proficiency of these children, as these factors interact with instructed ESL support on achievement measures in grade 12. Analysis of the data reveals that although all learners benefit from structured ESL support, it is the younger-arriving ESL learners who have the most to gain, even after many years of little or no support. We note that all ESL learners, regardless of age on arrival, struggle to acquire the cultural and metaphoric competence that is beyond the linguistic threshold required for success, but nevertheless central to successful engagement in a literature-based program of studies.
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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 | 0.002 | 0.002 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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