Subverting the Politics of Discourse in Gerald Vizenor's Heirs of Columbus
Bibliographic record
Abstract
Vizenor is an illustrious novelist whose works, especially The Heirs of Columbus, dwells upon some of the substantial and significant issues facing the modern-day Native American nationals of America and Canada as the majority of the Native American tribes straddle along the borders between the two countries. Victor believes in Saidian terms that the white Euro-American colonizers, after making inroads into the native people's land, established their stranglehold by maintaining and perpetuating the policy of the misrepresentation of the native people. Through a body of specialized writings about the colonized people, the Europeans in the first place and Americans afterward- after the center was shifted from Britain to America as a result of far-reaching political and economic changes in the world scenario- grossly misrepresented the indigenous people by portraying them as uncivilized, ignorant, brutes, inferior, born to be ruled over and, thus, by implication defined themselves as civilized, democratic, knowledgeable having the divine sanction to rule. They had this cultural/anthropological theory of their innate superiority over the non-white to ideologically support and legitimize their exploitative agenda.
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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 | 0.007 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.006 | 0.019 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.005 | 0.006 |
| 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".