The Colour of Language: Accent, Devaluation and Resistance in Latin American Immigrant Lives in Canada
Bibliographic record
Abstract
This analysis studies the power of Standard English in the process of formation of devalued immigrant identities in contemporary English Canada. Probing the connections between Standard English, colonialism, whiteness and the immigrant experience, this piece moves from an educator's autobiography to the analysis of other immigrant lives to understand the production of a dominant discourse that reaffirms whiteness and the native speaker of English over the identity of the speaker of English as second language. The essay concludes with the argument that those whose identities have been marginalized in the name of substandard language and cultural traits emerge from this process with privilege to interpret and transform the society to which they now belong. Cette analyse présente le pouvoir normatif de l'anglais standard dans le processus de formation dévalorisante de l'identité des immigrés habitant aujourd'hui au Canada anglais. Cette étude sonde les liens entre l'anglais normatif, le colonialisme, le fait d'être un Blanc et ce que vivent les immigrés, en partant de l'autobiographie d'un éducateur pour analyser ensuite d'autres expériences de vie d'immigrés, afin de comprendre comment la production d'un discours dominant sert à réaffirmer la supériorité d'un Blanc de langue maternelle anglaise au Canada et l'infériorité identitaire d'une personne dont l'anglais est la langue seconde. Cet essai permet de conclure que ceux qui ont été marginalisés sous le prétexte de l'infériorité de leur langue et de leur culture, émergent de ce processus en ayant l'avantage de pouvoir scruter et transformer la société dont ils font désormais partie.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.026 | 0.014 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".