Exploring Canadian Integration through Critical Discourse Analysis of English Language Lesson Plans for Immigrant Learners
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
The Canadian government implemented the Language Instruction for Newcomers to Canada (LINC) program to help immigrants integrate into Canada. However, research indicates that the LINC program fails to achieve its integrative goals. Using Fairclough’s analytical concepts of genre, discourse and style, this article closely examines a unit of LINC lesson plans to understand how they advance an understanding integration among classroom stakeholders (Canadian teachers and immigrant students). The analysis reveals that the LINC curriculum proliferates inequality between Canadians and newcomers by fostering an assimilative orientation that subjugates immigrants as problematic Others. Immigrants are expected to conform to dominant Canadian ways of being and ways using language. This article calls for a rethinking of integration by identifying possibilities for resistance that could shift immigrants’ positioning and reduce discrimination. This could occur through better recognizing bias and dominance, and through acknowledging and validating newcomers’ ways of speaking and interacting.
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 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 it