Framing Land Governance Issues in Indigenous and Settler Media within Canada
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 comparative study examines how the framing of Indigenous land governance issues—such as resource extraction activities on Indigenous territory and treaty negotiation—in Indigenous media differs from that in corporate news. Methods of Critical Discourse Analysis were applied to 66 news texts published in 2018 in large corporate newspapers, such as the National Post, and small Indigenous news outlets, such as Eagle Feather News. Researchers found that Indigenous media connected land governance issues to contemporary issues, such as racism and control over child welfare, as well as historical colonialism and Indigenous-Settler relations, while corporate news generally excluded any discussion of these contextual factors. While the main news frame in the Indigenous press was Indigenous people were not consulted, the dominant frame in corporate news was Indigenous peoples have already been adequately consulted. Corporate news discourse valorized Indigenous traditional territory solely based on its presumed “economic value.” By contrast, Indigenous publications offered a counternarrative, one that positioned land and the rest of the natural environment as something that has absolute value, and as indivisible from all living things, including people.
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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