Bibliographic record
Abstract
Abstract Mexican cuisine is often considered to be a mestizo fusion of indigenous and Spanish foods, but this mixture did not simply happen by accident; it required the labor, imagination, and sensory appreciation of both native and immigrant cooks. In turn, diverse regional and ethnic expressions of domestic cooking, street food, festival dishes, and haute cuisine provided affective foundations for rival attempts to define a Mexican national identity. To understand these processes of historical change, food studies scholars have begun focusing on the embodied sense of taste as an important complement to discursive studies of social construction that formerly predominated in the scholarship. Research from around the world has suggested the rise of sweetness as the predominant sensory experience of the modern dietary transition from peasant cuisines dominated by complex carbohydrates and vegetable proteins to industrial diets based on sugars and fats. This was certainly true of Mexico, but historical sources reveal a far more complicated picture of changing tastes. Although the arrival of sugar cane with the Spanish conquest did begin to shift the sensory balance from pre-Hispanic bitterness (chile peppers, cacao) toward sweetness, the introduction of other new foods brought complementary increases in sourness (lime, tamarind) and savory tastes (from the meat of domesticated animals), as well as new fragrances from spices (cinnamon, clove, pepper). New imagined communities arose with 18th-century creole patriotism among Spaniards born in the Americas and explicitly nationalist ideologies in the 19th century, but these were largely overlaid onto sensory and social understandings that assigned elite status to European flavors. Only in the 20th century did the unique taste of the corn tortilla become identified with the national community, and by that time, industrial production had fundamentally changed the tactile, olfactory, and taste sensations evoked by tortillas.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".