Heroes for the helpless: A critical discourse analysis of Canadian national print media’s coverage of the food insecurity crisis in Nunavut
Bibliographic record
Abstract
In northern Canada, the Inuit’s transition from a culturally traditional to a Western diet has been accompanied by chronic poverty and provoked high levels of food insecurity, resulting in numerous negative health outcomes. This study examines national coverage of Nunavut food insecurity as presented in two of Canada’s most widely read newspapers: The Globe and Mail and National Post. A critical discourse analysis (CDA) was employed to analyze 24 articles, 19 from The Globe and Mail and 5 from National Post. Analysis suggests national print media propagates the Inuit’s position as The Other by selectively reporting on social issues such as hunger, poverty and income. Terms such as “Northerners” and “Southerners” are frequently used to categorically separate Nunavut from the rest of Canada and Inuit-driven efforts to resolve their own issues are widely ignored. This effectively portrays the Inuit as helpless and the territory as a failure, and allows Canadians to maintain colonialist views of Inuit inferiority and erroneously assume Federal initiatives effectively address Northern food insecurity.
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.
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 | 0.011 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.045 | 0.032 |
| Scholarly communication | 0.015 | 0.005 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.003 | 0.005 |
| 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".