Obama Deception?: Empire, ‘postracism’ and White Supremacy in the campaign and election of Barack Obama
Bibliographic record
Abstract
This essay aims to provide a socio-historical account of the role that white supremacy played in the Presidential ascendancy of Barack Obama. Far from transcending race, Mr. Obama explicitly crafted his political ontology to articulate a discourse of post-racism. A central claim I make is that Mr. Obama selectively and strategically appropriated the enterprise of anti-racism by deploying a postmodern amorphous blackness that simultaneously undermined it. On one hand he assuaged White anxiety about whether a Black President will seek to call in the lien African Americans have on the state and White US society. On the other, he propagated the belief that where Whites voted for him, this confirmed the triumphal defeat of racism. In either case, by trading on his ambiguous biography, his personage was made to affirm both the end of racism and the redundancy of anti-racist action.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| 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".