Reclaiming Indigenous Representations and Knowledges
Bibliographic record
Abstract
This article explores contemporary Indigenous artists', activists', and scholars' use of the Internet to reclaim Indigenous knowledge, culture, art, history, and worldview; critique the political realities of dominant discourse; and address the genocidal history and ongoing repression of Indigenous peoples. Indigenous Internet examples include discussion of Cheryl L'Hirondelle's “Treaty Cards,” which allow visitors to create or modify treaty cards to better represent their identities; Lawrence Paul Yuxweluptun's challenge to imposed beliefs and ideologies and reclaiming and redefining Indigenous west coast (of Canada) Aboriginal artwork; and the Natives Against Media Stereotypes' global campaign to express outrage at CBS's television program “Survivor–Guatemala,” which portrayed contestants adopting outrageously offensive stereotypes of Indigenous peoples. Conclusions challenge Western society to decolonize its own structure and systems and to find ways to construct its identities in ways other than through the control and defining of Indigenous “others.” Education is suggested as one place to start.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.010 | 0.040 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".