Investigating Indigeneity within Incarceration: Healing Lodges in the Canadian Media
Bibliographic record
Abstract
My research examines the media portrayals of Indigenous healing lodges within Canada, through a critical discourse analysis of relevant Canadian news media sources, spanning from 2009 to 2019. I utilize both intersectionality and settler colonialism as my theoretical approaches for this research to contextualize media discourses to the longstanding history of colonialism in Canadian society, as well as intersections of identity. I also analyze research questions relevant to settler versus Indigenous-led media, as well as the constructions of healing lodges as a form of punishment and the ways in which Indigenous offenders were depicted. In addition, I explore how narratives about healing lodges further solidified claims regarding Indigenous sovereignty. I conclude with a multi-faceted approach moving forward through support for the implementation of more Indigenous-led healing lodges, as well as cultural resurgence, as advocated by a number of prominent Indigenous scholars in the field.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.008 | 0.010 |
| Science and technology studies | 0.027 | 0.021 |
| Scholarly communication | 0.016 | 0.004 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| 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".