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Record W1982160335 · doi:10.5038/1911-9933.8.1.4

A Genealogy of Genocide in Francoist Spain

2013· article· en· W1982160335 on OpenAlexvenueno aff
Antonio Míguez Macho

Bibliographic record

VenueGenocide Studies and Prevention · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical and Contemporary Political Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsGenocideImpunityDenialSociologyCriminologyPeriod (music)Spanish Civil WarPolitical scienceHistoryLawPsychologyPsychoanalysisHuman rightsPhilosophyAesthetics

Abstract

fetched live from OpenAlex

The extermination that was associated with the violence of the Spanish Civil War period and the early 1940s has been studied in depth in recent decades. Until now, however, the concept of genocide has not been discussed with an eye to understanding and interpreting this violence. The hermeneutical and comparative potential of the concept is, however, unquestionable. This article aims both to contextualize the origin and development of the debates about the concept of genocide, and to show what the concept could add to the debate in the case of Spain. In particular, this paper proposes to apply the concept of genocidal practice to the study of the Francoist violence, through analysis of the discourses, the reasons for the violence, and the memories of the events. From this point of view, an analysis will be made of the relationship between the practice of genocidal violence and the discourses of denial devoted to preserving the impunity of the perpetrators to this very day in Spain.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.101
Threshold uncertainty score0.201

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.009
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.256
Teacher spread0.213 · 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 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".

Quick stats

Citations11
Published2013
Admission routes1
Has abstractyes

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