CULTURE AND LANGUAGE: THE POLITICAL REALITIES TO KEEP TRICKSTER AT BAY
Bibliographic record
Abstract
I Resume For over 200 years governments in Canada and the United States have enforced policies aimed at assimilating and politically dominating Indigenous North American peoples. This essay discusses several of the political tools used in this regard as a means of highlighting the role that language must come to play in maintaining Indigenous peoples' distinct cultural identity as a force de resistance against a long and continuing history of political subjugation. Depuis plus de 200 ans, les gouvemements du Canada et des Etats-Unis appliquent des politiques visant I'assimilation et la domination politique des peuples autochtones d'Amerique du Nord. Cet article etudie plusieurs des instruments politiques utilises a eet egard pour souligner Ie rOle que la langue doit parvenir a jouer pour soutenir I'identite culturelle distincte des peuples autochtones, identite ici entendue comme une force de resistance contre une longue histoire, toujours en cours, d'assujettissement politique. The Canadian Joumal ofNative Studies XX, 1(2000):181-196.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.015 | 0.037 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".