Talking the “Immigrant Talk”: Immigration Narratives and Identity Construction among Colombian Newcomers
Bibliographic record
Abstract
In this paper I explore the role of popular Canadian immigration narratives in shaping the experiences and subjectivities of immigrants to Canada, and the ways in which immigrants negotiate these narratives to construct their experiences and identities. My research is based on ethnographic fieldwork and interviews conducted with Colombian immigrants to Canada residing in London, Ontario. I identify two narratives that characterize Canadian discourse on immigration, and explore how Colombian newcomers both apply and challenge these two narratives in talking about everyday experiences and challenges. I show that i) hegemonic immigration narratives are a powerful lens through which Colombian newcomers construct their experiences and identities, and that ii) newcomers manipulate these narratives to negotiate between the representations of immigrants in mainstream discourse and their desired self-representations. Dans cet article, j’étudie d’une part en quoi les récits populaires canadiens de l’immigration ont mar-qué les immigrants au Canada sur le plan subjectif et dans leur expérience, et, d’autre part, la manière dont ils travaillent leurs histoires pour structurer celle-ci ainsi que leur identité. Ma recherche s’appuie sur un travail ethnographique de terrain et des entrevues d’immigrants colombi-ens résidant à London en Ontario. Elle me permet d’identifier deux sortes de discours pour carac-tériser l’immigration au Canada et d’étudier comment les nouveaux arrivants de Colombie ont recours à ces deux approches tout en les contestant, lorsqu’ils parlent de leur expérience quotidienne et de défis auxquels ils doivent faire face. Je montre donc 1) que les narrations dominantes d’immigration servent de loupe puissante à travers laquelle les nouveaux arrivants colombiens structurent leurs expériences et leur identité, et 2) que ceux-ci manipulent ces histoires pour louvoyer entre la représentation des immigrants dans le discours de monsieur Tout le monde et l’image d’eux-mêmes qu’ils voudraient mettre en avant.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.027 | 0.013 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".