Proposing new media narratives to create an ethical space of engagement between indigenous and non-indigenous people in Canada
Bibliographic record
Abstract
The media narratives of Indigenous people in Canada have traditionally been based in the colonial policies of late nineteenth-century Canada, showing racist attitudes and echoing the assimilation policy of the federal government. Recent media narratives are less obvious in their racist portrayals, but long-held attitudes are still demonstrated in media framing and agenda-setting. This thesis uses narrative inquiry, archival research and interviews with professionals concerned with this issue to trace the roots of today's media narrative, assesses the factors that affect the current narrative, and assesses where we are on the path to an ethical space of engagement (Ermine, 2007). It concludes that the media narrative has changed significantly due to the Truth and Reconciliation Commission, but real change is most likely to come when Indigenous people find a way to influence the news agenda and set their own media frames in a peaceful and non-threatening manner.
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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 | 0.011 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.043 | 0.048 |
| Scholarly communication | 0.025 | 0.008 |
| Open science | 0.003 | 0.012 |
| 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".