Bibliographic record
Abstract
Indigenous healing is a paradox in the liberal settler colony where efforts to foster well-being can simultaneously undermine distinct Indigenous societies. This book examines the prominence of “Indigenous healing” in Canadian public discourse through a historical and ethnographic lens. It focuses on late twentieth-century Indigenous social histories in Treaty 3 territory and cities in northern and southern Ontario to show practices of re-membering—drawing on traditional ways of being and knowing for social repair and collective rejuvenation—against the backdrop of the social dismemberment of Indigenous Peoples. Expansion of re-membering is often enabled by tactical engagements with the settler state which have fuelled an Indigenized biopolitics from below. Maxwell offers an analysis of the possibilities, tensions, and risks inherent to these biopolitical tactics. Informed by Indigenous feminist scholarship that emphasizes relationality, care, and the everyday, as well as the intimate workings of settler colonialism, this book aims to enrich critical conversations about reconciliation and resurgence politics and challenge their perceived dichotomy.
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.
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 | 0.002 |
| Science and technology studies | 0.015 | 0.037 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".