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Expresiones de lo fronterizo en producciones culturales recientes.

2018· article· es· W2904615621 on OpenAlexaff
Tatiana Navallo

Bibliographic record

VenueVisitas al Patio · 2018
Typearticle
Languagees
FieldSocial Sciences
TopicGender, Health, and Social Inequality
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPhilosophyArt

Abstract

fetched live from OpenAlex

Una somera mirada del discurso crítico literario y cultural reciente pone en evidencia la pluralidad de perspectivas desde las que es utilizada la noción de frontera, junto al flujo migratorio que esta noción evoca. Entre estas aristas se nos presenta de qué manera, tanto la migración interna como el cruce mismo de la línea divisoria geopolítica en una región fronteriza, no solo son elementos que configuran la noción de frontera, sino que la misma coyuntura histórica-política en la que se producen estas migraciones habilita una noción cultural de la frontera, “una metáfora”, en palabras de María-Socorro Tabuenca Córdoba. El espacio fronterizo se convierte, así, en un espacio simbólico en el que quedan subsumidos tanto el límite político como el cultural, poniendo al descubierto las repercusiones políticas y legales de los desplazamientos migratorios, sean estos voluntarios o no, como así también las estrategias textuales y culturales que dan lugar a la apropiación discursiva de “lo fronterizo” en producciones culturales surgidas en condiciones de frontera. Dinámica propia que habilita negociaciones múltiples, desde donde se puja por el derecho a expresar discursivamente una crítica, un reclamo o, simplemente, el derecho mismo a la palabra.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.021
Scholarly communication0.0090.004
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.044
GPT teacher head0.382
Teacher spread0.338 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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