THE CHOICE TO RENOUNCE OR RECLAIM THE CHOICE TO RENOUNCE OR RECLAIM THE CHOICE TO RENOUNCE OR RECLAIM THE CHOICE TO RENOUNCE OR RECLAIM THE CHOICE TO RENOUNCE OR RECLAIM
Bibliographic record
Abstract
Resume Abstract / Resume Abstract / Resume Abstract / Resume Abstract / Resume As a woman of mixed European and Aboriginal heritage I am a product of Colonization, living with the repercussions of both the original acts of Colonization and Canada's subsequent assimilation policies. For over 150 years, Aboriginal women in Canada were subjected to active and deliberate marginalization, gender discrimination, and racism before being granted the opportunity to reclaim official Aboriginal rights as sta- tus Indians through the 1985 Indian Act. Today, I am entitled to reclaim official status from the Canadian State; however, I do not feel that this is an entitlement that I should ethically be awarded solely on ethnic heri- tage. If we are to accept the popular idea of race simply as a socially constructed phenomenon, then official Aboriginal recognition should no longer be awarded on the basis of inherited ethnicity.
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 | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.159 | 0.065 |
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".