Immigrant Success Stories in ESL Textbooks
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
Immigrant success stories found in English as a second language (ESL) textbooks used in government‐funded language instruction in Canada imagine Canada as a redeemer of immigrant newcomers. Through a critical discourse analysis of ESL textbooks used in Language Instruction for Newcomers to Canada classes in Ontario, I identify two primary strategies of legitimation: positive self‐representation/negative other‐representation (van Dijk, 2000) and the maintenance of a low orientation to difference (Fairclough, 2003), despite a feigning of dialogicality. The stories of these immigrant newcomers follow a very similar narrative pattern that legitimates periods of economic hardship, social exclusion, and personal struggle. However, they overwhelmingly represent hard‐working immigrant newcomers as successful and appreciative of the opportunities provided to them by Canada. I conclude by arguing that ESL teachers should recognize that the diverse experiences of newcomers may not align with these repetitive imaginings of Canada as a redeemer of immigrant others.
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 | 0.000 |
| 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) | 0.001 | 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