How did adoption become a dirty word? Indigenous citizenship orders as Irreconcilable Spaces of Aboriginality
Bibliographic record
Abstract
In the fall of 2016, the Kahnawà:ke Community Decision Making Process revised the Kahnawà:ke Law on Membership regarding adoption. It was decided that any non-Indigenous child adopted by a Kahnawà:ke family after 2003 would not be recognized as a Kanien’kehá:ka of Kahnawà:ke or an approved resident. Parents were committing an offense in adopting non-Indigenous children and would no longer be eligible to reside in Kahnawà:ke. This decision drew national and international attention, with some questioning the logic of targeting a practice so integral to many Indigenous legal orders. This article frames Rotinonhsiónni adoption, belonging, and identity formation beyond the confines of colonial thought. This might seem like a tall order given colonialism’s all-encompassing grasp on Indigenous minds and communities; indeed, we are all entangled in the colonial order. But there is a way to challenge this by moving beyond frameworks reliant on colonial control.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.061 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.005 |
| 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".