A corpus-assisted discourse analysis of the representation of Syrian refugees in Canadian newspapers
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
This paper examines the representation of Syrian refugees in the Canadian press, from December 2015 to December 2017, in four English-language major newspapers. Using methods of Corpus Linguistics (CL) and Critical Discourse Analysis (CDA), this study found three prominent themes, namely intake, integration, and concern, through which Syrian refugees are depicted across the political spectrum. The results indicate that adopting a more inclusive immigration policy did not totally negate the biased and discriminatory representations entrenched in the media coverage of refugees, but it can set the stage for more empowering and sympathetic treatment of refugees in the media. This analysis speaks to the importance of media discourse in producing and maintaining particular depictions of refugees among the Canadian public, highlighting the role of ideological and political stances in the portrayals of refugees across news outlets.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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