Regional development and Japanese obsession with noodles: the udon noodle tourism phenomenon in Japan
Bibliographic record
Abstract
This chapter presents the findings of a restaurant and chef survey conducted on restaurants in Vancouver, Canada. In order to collect primary data on the interrelationships between food service establishments and local food, a survey was conducted with the food service establishments in Vancouver, Canada, in 2014. It was found that European cuisine style of restaurants most commonly chose the farmers' market vendors for their local food procurements. In other words, local food can also be understood within the broader context of a sustainable culinary system. Co-operative marketing strategies or a group of farmers can band together to make purchasing arrangements with the restaurants and chefs. The 2013 survey conducted by the Canadian Restaurant and Food Service Association (CRFA) had locally sourced foods topping the trend list again. However, producer and farm perspectives on the benefits and barriers to marketing their products directly to local restaurants are less clear in empirical research.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".