Bibliographic record
Abstract
Cookbooks, Hunger and Regionalism in Spanish Food History Maria Jose SEVILLA, Delicioso: A History of Food in Spain (London: Reaktion Books, 2019). Lara ANDERSON, Control and Resistance: Food and Discourse in Franco Spain (Toronto: University of Toronto Press, 2020). Maria Angeles PEREZ SAMPER, Comer y beber: Una Historia de la alimentación en España (Madrid: Catedra, 2019). Jillian Williams The Last “National Dish”? Food, Nationalism and Historiography Atsuko ICHIJO, Venetia JOHANNES, Ronald RANTA (eds), The Emergence of National Food: The Dynamics of Food and Nationalism (London: Bloomsbury, 2019). Michelle T. KING (ed.), Culinary Nationalism in Asia (London: Bloomsbury, 2019). Katarzyna J. CWIERTKA, Ewa MACHOTKA (eds), Consuming Life in Post-Bubble Japan: A Transdisciplinary Perspective (Amsterdam: Amsterdam University Press, 2018). Matthijs Kuipers Paul ERDKAMP, Claire HOLLERAN (eds), The Routledge Handbook of Diet and Nutrition in the Roman World (London/ New York: Routledge, 2019). Robin Nadeau IBN MUBĀRAK SHĀH, The Sultan’s Feast. A Fifteenth-Century Egyptian Cookbook. Edited, translation and introduction by Daniel L. NEWMAN (London: Saqi Books, 2020). Marianne Brisville Troy BICKHAM, Eating the Empire: Food and Society in Eighteenth-Century Britain (London: Reaktion Books, 2020). Jessica Mcintyre Joshua SPECHT, Red Meat Republic: A Hoof-to-Table History of How Beef Changed America (Princeton: Princeton University Press, 2019). Zachary Nowak Natacha CHEVALIER, Food in Wartime Britain: Testimonies from the Kitchen Front, 1939-1945 (London: Routledge, 2020). Bryce Evans
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 | 0.001 | 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) | 0.013 | 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".