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Bibliographic record
Abstract
FI LX-3 y comunidad a través de la alimentación.Tomados en conjunto, los capítulos, que van desde un relato de la militarización de las tierras agrícolas fronterizas de Yuma, Arizona, hasta un estudio de caso del Consejo de Política Alimentaria en Vancouver, Canadá, demuestran no sólo que no podemos hablar de inmigración sin hablar de alimentos, sino que tampoco podemos hablar de comida sin referirnos a la inmigración.El libro investiga estas cuestiones a través de la construcción del nexo entre inmigrantes y alimentos, que abarca las relaciones en constante cambio de los sistemas alimentarios, la política de inmigración y las vías alimentarias de los inmigrantes.Los contribuyentes, muchos de los cuales son miembros de las comunidades de inmigrantes que estudian, escriben desde una variedad de disciplinas.Tres temas rectores organizan los capítulos.Fronteras: cultural, físico y geopolítico; trabajo, conexión de agronegocios y experiencia de vida de inmigrantes; y narrativas y políticas de identidad, desde "comida local" hasta "aculturación dietética".
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 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.286 | 0.142 |
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".