Bibliographic record
Abstract
Using a case study of the Italian spirit grappa, we examine status recategorization—the vertical extension and reclassification of an entire market category. Grappa was historically a low-status product, but in the 1970s one regional distiller took steps that led to a radical break from its traditional image, so that in just over a decade high-quality grappa became an exemplar of cultured Italian lifestyle and held a market position in the same class as cognac and whisky. We use this context to articulate “theorization by allusion,” which occurs through three mechanisms: category detachment—distancing a social object from its existing category; category emulation—presenting that object so that it hints at the practices of a high-status category; and category sublimation—shifting from local, field-specific references to broader, societal-level frames. This novel theorization is particularly appropriate for explaining change from low to high status because it avoids resistance to and contestation of such change (by customers, media, and other sources) as a result of status imperatives, which may be especially strong in mature fields. Unlike prior studies that have examined the status of organizations within a category, ours foregrounds shifts in the status and social meaning of a market category itself.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.015 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".