The Desire to Believe and Belong: Wannabes and Their Audience in a North American Cultural Context
Bibliographic record
Abstract
The chapter discusses two cases of ethnic impersonation, that of Asa/Forrest Carter, a white supremacist from Alabama who pretended to be Cherokee, and that of Archibald Belaney, an Englishman who in Canada took on the identity of the half-blood Indian Grey Owl. The focus lies on an analysis of the respective cultural context and the motivations of the audiences to believe in those acts of imposture out of a desire to belong nationally and culturally. For Canadians, Grey Owl transformed the no-man's land of Canada into a "true" North and gave the young nation a way to imagine itself apart from the British motherland. Audiences in America bought Asa Carter’s act because he appealed to populism and the anti-intellectualism of the common man. Carter reached his audience because he identified their deepest racial stereotypes, resentments, and fears. The exposure of both men, then, reveals the dark underside of North American national myths.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".