Bibliographic record
Abstract
<p>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.</p> <p>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.</p> <p>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.</p>
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.008 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".