Bibliographic record
Abstract
Our Voice / Flores Jurado, Julieta; FOOD AS VOICE; Culinary Heritage, Contribution to Humanity / Fuentes Romero, Enid Desiree; Food: Identity / Silva Márquez, César; Culinary Discourse: Nationalism vs. Violence / Rentería, María Luisa; Guiintabich: From Memory to Table / Sclavo Castillo, Daniela, Pérez-Volkow, Lucía, Hernández Martínez, Emilio; The Mexican Food Entrepreneurs And Workers Who Made New York a More Exciting Place to Eat / Flores, Lori; Does the Voice of Migrant Food Exist?/ Linares Colmenares, Laura Gabriela; Food as the Migrants’ Voice: Mexicans’ Food Businesses in the United States and Canada / Vázquez Zúñiga, Iliana; Free Trade Agreements, Biosecurity, and Public Health: Maize and the Transformations of Foodscapes in Mexico, 1986-2024/ Jiménez, Axel Elías; Voices on Food, Love and Miracles: Overcoming Student Malnourishment with Love / Tenorio, José; Pulque, Beer, and Gender in Mexico / Pilcher, Jeffrey M.; Voice of Mezcal, Voice of Mexico/ Brulotte, Ronda L.;Natural Wine in Mexico City: Cosmopolitan Identities in the Urban Night/ Macías, Yolanda, Mercado-Celis, Alejandro; Cooking Well-being amidst Aromas, Flavors, Colors, and Textures: Cannabis Flowers A Complex, Fascinating Ingredient/ Díaz Mendiburo, Aaraón, Carmona González, Yariela; Women and Alcohol in The Unnatural and Accidental Women/ Lucotti, Claudia; ART & CULTURE; Still Life with Winter and Fruit / Artigas Albarelli, Irene; From Tacos to Canvas Inspiring Edible Flowers/ Ezcurra, Ana, illustrations by Iara Chapuis; A Budding Genre That is Starting to Rot: LGBTTTIQ+ Literature in the Trump 13 Ways of Looking at a Meal / Toledano, Adriana, Illustrations by Laura Castellanos; Food: Objective Correlative / Velasco, Astrid; FOOD AS VOICE; Mexican Chefs and Labor Justice in the Seventh Season of Chef’s Table / Flores Jurado, Julieta Illustrations by Elizabeth Flores Jurado; The Thin Line between Family Inspiration and Culinary Authorship: On the Series Aftertaste / Lara Orozco, Oswaldo A.; Food as Voice, Song, and Sayings: Hens, Chickens, and Turkeys / Martínez y Torres, Lilia; MORE THAN MEALS AND FOOD STALLS: UNAM ALUMNI ON FOOD, MEMORY AND CONNECTION; A Wandering Coffee Lover / Andablo, Fer; Two Shops, One Market/ Guillén Márquez, Joaquín; At the Corner of Xicoténcatl and Ignacio Allende / Ulloa, Karolina
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.016 |
| Scholarly communication | 0.013 | 0.014 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.032 | 0.007 |
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".