Marketing the Fertile Crescent, The reinvention of the public market tradition in New Orleans
Bibliographic record
Abstract
Under Spanish rule in the late 18 th Century, New Orleans began to enjoy the beginnings of what came to be among the more highly developed public market systems in the North America. The system served many purposes: to link regional farmers, fishers and hunters to urban consumers, to serve as gateway for global goods from the Port of New Orleans, like Central American bananas, to enable those on the economic margins to gain a foothold in the economy as business owners and to build social cohesion among a culturally complex colony. By the time post-World War II America promised air-conditioning, new housing, supermarkets and automobiles with the escape from the smelly, messy inner core of the city, the 32-strong public markets were already in decline. Despite this decline, the collective memory of markets remained important footnotes for a city that, even to this day, maintains an uncomfortable relationship with the forces of American homogenization. Many wholesalers, bakers, grocery stores, and restaurants cut their retail teeth at one of the city’s public markets. Throughout New Orleans, discussions at family gatherings often reflect upon the days when the French Market sold live crabs instead of sunglasses and T-shirts that read ‘I got crabs in the French Quarter.’
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.013 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.014 | 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".