LINCing learners to digital literacy: supporting social integration and English language learning during COVID-19
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 Many newcomers to Canada experience significant difficulties adjusting to life in their new community, with few more challenging than learning English. While Canada’s Language Instruction for Newcomers to Canada (LINC) program suggests a pathway to social integration, ideologies pertaining to language and diversity that inform the LINC program can lead to the assimilation and marginalization of immigrant and refugee newcomers. The disruptions that COVID-19 brought to LINC classes exacerbated these issues. Here, we explore these themes in an ethnographic study of one LINC site and suggest that the incorporation of digital technologies could offer a space for a translingual pedagogy to take root. With appropriate guidance, the adoption of a translingual pedagogy could work against the problematic discourses perpetuating within LINC and improve English learning outcomes by providing increased opportunities for digital literacy socialization.
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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 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