From Judging Culture to Taxing "Indians": Tracing the Legal Discourse of the "Indian Mode of Life"
Bibliographic record
Abstract
In this article I consider how judicial decision making characterizes Indigenous peoples' culture outside the context of determinations under section 35(1) of the Constitution Act, 1982. I am concerned with how contemporary jurisprudence sometimes subjects Indigenous people to stereotyped tests of Aboriginality when they seek to exercise legislated rights. These common law tests of Aboriginality tend to turn on troubling oppositional logics, such as whether or not the Indigenous person engages in waged labour or commercial activities. These tests arose in historic legislation and policy that were premised on social evolutionary theory and were directed at determining whether an Indigenous person was to be deemed economically assimilated. Before such legislation and policies were repealed, however, the tests crossed into the common law and have since been read into legislation. As a result, the doctrine of precedent has reinforced and continually renewed this oppressive discourse to the present day. This article is, in essence, a call to critically engage and confront the assumptions that underlie our rubrics of analysis.
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 | 0.006 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.022 | 0.087 |
| Scholarly communication | 0.015 | 0.007 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.009 |
| Insufficient payload (model declined to judge) | 0.002 | 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".