News Media and the United Nations Declaration on the Rights of Indigenous Peoples: Journalism for Reconciliation and Justice
Bibliographic record
Abstract
This research article examines news reporting on the implementation of the United Nations Declaration on the Rights of Indigenous Peoples (UNDRIP) in Canada. First, the UNDRIP legislation is introduced and briefly situated in relation to a wider legacy of news discourses about Indigenous peoples and reconciliation in Canadian journalism. My next step is to develop analysis of salient news discourses and journalistic practices that characterize the limited reporting on UNDRIP that occurred over a two-year period after the Royal Assent of Bill C-15 in 2021. Drawing on examples of journalistic practices in this UNDRIP news sample, I conclude by arguing that robust, situated and relational approaches to Indigenous journalism can support the advancement of reconciliation and ongoing struggles to decolonize Canada’s dominant legal frameworks.
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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 | 0.016 | 0.041 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.030 | 0.044 |
| Scholarly communication | 0.028 | 0.010 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.004 | 0.006 |
| 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".