Bibliographic record
Abstract
Author Pamela Palmater argues that the Indian Act’s registration provisions (status) will lead to the extinguishment of First Nations as legal and constitutional entities. The current status criteria contain descent-based rules akin to blood quantum that are particularly discriminatory against women and their descendants. Beginning with an historic overview of legislative enactments defining Indian status and their impact on First Nations, the author examines contemporary court rulings dealing with Aboriginal rights and the Canadian Charter of Rights and Freedoms in relation to Indigenous identity. She also examines various band membership codes to determine how they affect Indigenous identity, and how their reliance on status criteria perpetuates discrimination. She offers suggestions for a better way of determining Indigenous identity and citizenship and argues that First Nations themselves must determine their citizenship based on ties to the community, not blood or status. Dr. Palmater was subsequently registered as an Indian when Sharon McIvor won her court case against Canada for continued gender discrimination in the Indian Act. Now Palmater, McIvor and others continue the fight for the inclusion of their children and grandchildren excluded by gender discrimination.
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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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.016 | 0.053 |
| Scholarly communication | 0.009 | 0.012 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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".