Bibliographic record
Abstract
Provisional table of contents SECTION 1: The Globalization of Food Production Introduction Chapter 2: Delocalising Salmon: 'Tasmanian Atlantic Salmon' and the Emergence of a Universal Artefact Chapter 3: Localization and Globalization in the Livestock Industry (Rhoda Wilkie, University of Aberdeen) SECTION 2: Connecting Globalized Production and Globalized Consumption Editors' Introduction Chapter 4: Fair Trade Food: Connecting Producers and Consumers (Caroline Wright, University of Warwick) Chapter 5: Between Brand and Place: The Global Wine Market, Pedagogies of Tasting and the Tyranny of Parker's Scores (Stefano Ponte, Danish Institute for International Studies) Chapter 6: Globalization and Obesity (Jeffery Sobal, Cornell University and Wm. Alex McIntosh, Texas A&M University) SECTION 3: Globalization, Localization, Contestation, Politics Editors' Introduction Chapter 7: Virtue and Valorisation: 'Local Food' in the United States and France (Michaela DeSoucey, Northwestern University Isabelle Techoueyres, University of Bordeaux) Chapter 8: Reign of the Terroir: the Cult of the Artisan in the French Gastronomic Field (Rick Fantasia, Smith College) Chapter 9: Unpacking the Localist Response to the Globalization of Food (Julie Guthman, University of California, Santa Cruz) Chapter 10: Gastronomic Revolutionaries: Slow food and the Politics of 'Virtuous Globalization' (Alison Leitch, Macquarie University) Chapter 11: Eating Your Way to Global Citizenship (Danielle Gallegos, Murdoch University) SECTION 4: Food, Selfhood, Identity and Globalization Editors' Introduction Chapter 12: Food Nationalism and American Identity (Shyon Baumann and Josee Johnston, University of Toronto) Chapter 13: Contemporary Hispanic Foodways in the San Luis Valley of Colorado: The Local, the Global, the Hybrid and the Processed (Carole Counihan, Millersville University) Chapter 14: Culinary Discourses: A Comparison of Four Ethnographic Settings (Pat Caplan, Goldsmiths College) SECTION 5: The Globalized Menu Editors' Introduction Chapter 15: Feeding Modern Desires: Exotic Restaurants and Expatriate Home Cooking (Krishnendu Ray, New York University) Chapter 16: Completely Unique but Appealing to Everyone: Managing Difference on the Globalized Menu of National and Ethnic Foods (Richard Wilk, Indiana University) Chapter 17: Convergent Tendencies in Global Context: A Comparison of Britain and France (Alan Warde, University of Manchester)
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 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) | 0.001 | 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".