From white vs. native to white and native : going Indian, playing Indian and identifying with first nations values
Bibliographic record
Abstract
The present paper explores an interesting aspect of trans-Atlantic and cross-cultural studies: the Native vs. white disparity in some stories of indigenization and its alleged replacement with the Native and white paradigm symbolically signifi ed by ethno-cultural hybrids. However, unlike captives and other involuntary shift ers, who create a genuine hybrid identity with authentic ethno-cultural markers, the Indian "wannabes" sustain the opposition between the two cultures, the barriers, and consequently the racial divides they intend to diminish. The overall implication is that since only the selected features of Native culture are seen as worth copying and assuming as part of one's identity, evidently "white" is still better; it just needs embellishment with a few "added Indian traits." Thus many artists continue to demonstrate the Native vs. white paradigm. More critical attention should be devoted to notions and nature of whiteness in order to further a subtle understanding of the cultural strongholds of colonialism and to acquire cultural sensitivity possessed by more authentic shifters.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.015 | 0.025 |
| Scholarly communication | 0.012 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| 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".