Bibliographic record
Abstract
This article looks at how the button-down shirt has been translated in the American and British contexts. Employing Barthes’ notion of ‘fashion narrative,’ I describe how in the United States, the button-down shirt is closely associated with the Ivy Look, a style that had emerged from the elite Ivy League universities but became mass fashion by the mid-1960s. While the garment remained youthful, continuing to draw on the collegiate fashion narrative, it also spoke to an American national imaginary of affluence, abundance and class mobility. Both the garment and its paratextual meanings circulated through the global fashion system, emerging in a very different context in 1960s Britain. Speaking to British imaginings of America, it remained youthful but was transformed by the particularities of the British class system, becoming closely associated with two of Britain’s working-class youth subcultures: the mods and the skinheads. Emblematic of the subterranean passion for clothing that characterised the culture of young working-class men in Britain during the latter half of the twentieth century, the button-down shirt became a subcultural icon. In turn, the historicisation and commodification of these subcultures has ensured the button-down shirt’s place in the British national imaginary. Comparing publicity materials produced by American and British clothiers, I examine how the garment’s fashion narratives, both British and American, continue to circulate.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.003 |
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".