Canadian Experience Wanted: A Critical Discourse Analysis of Media Representation of Skilled Immigrants
Bibliographic record
Abstract
This MRP examines whether and how Canadian English electronic press media represents what is known as 'Canadian experience'. Although Canada is considered an immigrant welcoming country, it has been criticized for its poor recognition of immigrant skills and work experience. The media's portrayal of skilled newcomers reveals underlying social attitudes towards immigrants; this is reflected in contemporary immigration policies and labour market practices, which affect skilled immigrants' integration into Canadian society. Utilizing Critical Discourse Analysis, this study traces the representations of Canadian experience in the national electronic newsprint media, The Globe and Mail, The Toronto Star, and one regional source, the Toronto Sun between 2015-2022. The analysis of the articles reveals how certain skilled immigrants continue to be unfavourably represented by media reporting. The indirect marginalizing discourses embedded within the language of the articles has implications for skilled immigrants in Canada.
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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 | 0.006 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.011 | 0.014 |
| Science and technology studies | 0.026 | 0.016 |
| Scholarly communication | 0.016 | 0.004 |
| Open science | 0.002 | 0.005 |
| 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".