Bibliographic record
Abstract
Abstract Victims of colonial, Indigenous child-removal policies have attracted public expressions of compassion from Indigenous and settler-state political leaders in Canada since the 1990s. This public compassion has fueled legal and political mechanisms, leveraging resources for standardized interventions said to “heal” these victims: cash payments, a truth-telling forum, therapy. These claims to healing provide an entry-point for analyzing how and why the figure of the Indigenous child-victim, past and present, is morally and politically useful for settler-states and their public cultures. I use the formulation of “settler-humanitarianism” to express how liberal interventions of care and protection, intended to ameliorate Indigenous suffering, align with settler-colonialism's enduring goal of Indigenous elimination (Wolfe 2006). Removal of Indigenous children was integral to the late nineteenth-century formation of the Canadian and Australian settler-states. Missionaries and colonial administrators represented these practices as humanitarian rescue from depraved familial conditions. Settler-humanitarians have long employed universalizing moral registers, such as “idleness” and “neglect,” to compel state interventions into Indigenous families. More recently, “trauma” has emerged as a humanitarian signifier compelling urgent action. These settler-humanitarian registers do political work. Decontextualized representations of Indigenous children as victims negate children as social actors, obscure the particularities of how collective Indigenous suffering flows from settler-colonial dispossession, and oppose children's interests with those of their kin, community, and nation. I analyze how and why Aboriginal healing as settler-humanitarianism has been taken up by many Indigenous leaders alongside settler-state agents, and examine the ongoing social and political effects of the material and discursive interventions it has spawned.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.037 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".