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Record W1925349970

Nacionalismo y violencia: una explicación mecanísmica. Con especial referencia a las teorías de Charles Tilly y Michael Mann

2015· article· es· W1925349970 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

VenueAmericanae (AECID Library) · 2015
Typearticle
Languagees
FieldSocial Sciences
TopicNationalism and Cultural Identity
Canadian institutionsTrent University
Fundersnot available
KeywordsPhilosophyHumanities
DOInot available

Abstract

fetched live from OpenAlex

A primera vista, parece evidente la existencia de una fuerte relación entre nacionalismo y violencia. Este artículo se propone mostrar que de hecho no existe una relación directa entre ambos. Nadie pone en duda que el nacionalismo y la violencia frecuentemente coinciden, pero el nacionalismo no causa la violencia. El análisis comienza identificando un conjunto de falacias —semántica, normativa, individualista y esencialista— que suelen acompañar al estudio del nacionalismo en general. En un segundo momento se propone una reconceptualización del nacionalismo, presentando una ontología de lo nacional y una metodología para estudiarlo. De modo particular, este artículo adopta un enfoque explicativo fundado en mecanismos causales, donde se examinan mecanismos nacionalizadores específicos juntamente con mecanismos socio-psicológicos y políticos. Se argumenta que los mecanismos causales fundamentales que conectan el nacionalismo con la violencia son mecanismos políticos. Esta argumentación se apoya en el trabajo de Charles Tilly sobre la violencia y en el de Michael Mann sobre genocidio y limpieza étnica.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.552
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.003
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.025
GPT teacher head0.293
Teacher spread0.268 · 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