Advancing Post-Admission Academic Language Support at a Canadian Polytechnic Institute
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
This paper addresses the challenges faced by higher education institutions in English-speaking countries regarding the linguistic preparedness of students for academic study in English. The rising number of English as an Additional Language (EAL) students struggling to meet learning outcomes has prompted post-secondary institutions to prioritize the development of academic language abilities. The paper reviews various forms of post-admission language support employed globally and presents a framework for defining and classifying them. It then presents how one Canadian polytechnic institute incorporates some of these forms to address the challenge of students needing to develop language proficiency and academic content literacy in the limited timeframe of polytechnic diploma programs. By reporting on their context-specific experiences in implementing forms of language support, post-secondary institutions will better be able to help each other reach the goal of assisting EAL students to succeed not only in their academic programs but also in their future careers.
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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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