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Record W3042702648 · doi:10.5070/t33148659

Frontera Sur / Border South

2020· article· en· W3042702648 on OpenAlexaff
Melissa Gauthier

Bibliographic record

VenueTeaching and Learning Anthropology · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Racism, and Human Rights
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsPolitical scienceGeography

Abstract

fetched live from OpenAlex

centroamericanos a medida que cruzan por México en ruta hacia los Estados Unidos.Este documental es un retrato íntimo de un joven nicaragüense llamado Gustavo cuyo viaje hacía al norte es violentamente interrumpido cuando recibe un disparo mientras se transportaba en el techo de "La Bestia," ese es el sobrenombre de una red de trenes de carga que atraviesa México, desde la frontera sur con Guatemala hasta los Estados Unidos.La desgracia de Gustavo fue altamente politizada, finalmente se convierte en un boleto de oro al recibir la visa humanitaria que estuvo esperando pacientemente mientras se recuperaba de su lesión en un refugio para migrantes.Después de varios meses estacionado en el refugio y con una visa en mano, Gustavo está listo para avanzar sin tener que arriesgarse para saltar y viajar en el techo del tren de la frontera hacia el Norte.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.373
Threshold uncertainty score0.894

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.3730.057

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 head0.026
GPT teacher head0.335
Teacher spread0.309 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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".

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Citations0
Published2020
Admission routes1
Has abstractno

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