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Record W3107147636 · doi:10.34096/cas.i52.8899

Se viene el malón. Las geografías afectivas del racismo argentino

2020· article· es· W3107147636 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCuadernos de antropología social · 2020
Typearticle
Languagees
FieldSocial Sciences
TopicArgentine historical studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Este trabajo analiza las dimensiones espaciales y afectivas de la blanquitud y del racismo en la Argentina por medio de un contrapunto entre “la Argentina Blanca”, entendida como el proyecto de crear una geografía nacional de tipo europeo, y “el malón” como alegoría de las multitudes populares que amenazan dicho proyecto. A partir de una lectura espacial y afectiva de momentos clave de la historia argentina desde fines del siglo XIX hasta el gobierno de Macri, muestro que lo que más suele generar expresiones de racismo en la Argentina es la irrupción en el espacio público de multitudes de gente pobre y de tez oscura que evocan “el malón”: las caballerías indígenas que en el pasado le pusieron límites al proyecto de una nación europeizada. Este artículo analiza cómo el miedo al malón ha sido usado en diversos contextos históricos para legitimar el terror estatal –que analizo por medio de la figura del “malón blanco”– y cómo en las últimas décadas ha surgido, como contrapunto y crítica al racismo del proyecto de la Argentina Blanca, una “Argentina mestiza” que se siente cómoda con la multiplicidad de la nación.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient 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: Empirical
Teacher disagreement score0.495
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0040.003
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.049
GPT teacher head0.338
Teacher spread0.290 · 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