Bibliographic record
Abstract
In a moment where unlawful pipelines are built on Indigenous territories, the RCMP make illegal arrests of land defenders on unceded lands, and anti-Indigenous racism permeates on social media; the government lie that is reconciliation is exposed. Renowned lawyer, author, speaker and activist, Pamela Palmater returns to wade through media headlines and government propaganda and get to heart of key issues lost in the noise. Warrior Life: Indigenous Resistance and Resurgence is the second collection of writings by Palmater. In keeping with her previous works, numerous op-eds, media commentaries, YouTube channel videos and podcasts, Palmater’s work is fiercely anti-colonial, anti-racist, and more crucial than ever before. Palmater addresses a range of Indigenous issues — empty political promises, ongoing racism, sexualized genocide, government lawlessness, and the lie that is reconciliation — and makes the complex political and legal implications accessible to the public. From one of the most important, inspiring and fearless voices in Indigenous rights, decolonization, Canadian politics, social justice, earth justice and beyond, Warrior Life is an unflinching critique of the colonial project that is Canada and a rallying cry for Indigenous peoples and allies alike to forge a path toward a decolonial future through resistance and resurgence.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.018 | 0.013 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.017 | 0.002 |
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".