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Record W4232671848 · doi:10.24201/fi.v60i3.2780

- Ir a novedades editoriales...

2020· article· gl· W4232671848 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueForo Internacional · 2020
Typearticle
Languagegl
FieldHealth Professions
TopicHealth and Medical Education
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessGeography

Abstract

fetched live from OpenAlex

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.607
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0170.012

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.

Opus teacher head0.147
GPT teacher head0.461
Teacher spread0.314 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it