How Tonto Became Mr. T: <i>The A-Team</i> and the Transformation of the Western in Post-Vietnam America
Bibliographic record
Abstract
The plot of The A-Team is straightforward and repetitive: fugitives from the government for a crime they did not commit, members of a former Vietnam War special-forces unit roam America as mercenaries, using over-the-top, cartoonish violence to protect small business owners from exploitation. The team’s positioning as roving gunslingers using interventionist violence to regenerate ideal communities directly references the Western. However, while the self-reflexive artificiality of the team’s violence ridicules the Western, the righteousness of the team’s perpetual success paradoxically embraces it. This paper argues that The A-Team challenges the Western only as a means to reaffirm it, negotiating post-Vietnam American society’s conflicting desires to reject and recuperate the past—in this case, the myth of “regeneration through violence” that Richard Slotkin argues underpins both the Western and America’s national identity.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.000 | 0.001 |
| 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".