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Honor Ideology, Dueling Culture, and Judicial Lies in 1920s Uruguay

2016· reference-entry· en· W2585710083 on OpenAlexaff
David Parker

Bibliographic record

VenueOxford Research Encyclopedia of Latin American History · 2016
Typereference-entry
Languageen
FieldSocial Sciences
TopicLaw in Society and Culture
Canadian institutionsQueen's University
Fundersnot available
KeywordsHonorIdeologyLawNewspaperJournalismNarrativeCommunismPolitical scienceSociologyArtLiteraturePolitics

Abstract

fetched live from OpenAlex

Abstract In Montevideo in 1923, streetcar company executive Juan Cat shot at journalist and Communist parliamentarian Celestino Mibelli in the atrium of the Uruguayan Congress. Despite this premeditated assassination attempt in front of numerous witnesses, Cat was released, the judge accepting the possibility that his actions were in legitimate self-defense. The logic that led police, prosecutor, and judge to arrive at conclusions that seemed to contradict both the evidence and the law hinged upon, and in the process reveals, deeply conflicting ideas of honor, family, the public versus the private sphere, and the unwritten laws that governed journalism in 1920s Uruguay. Mibelli had published a series of scandalous newspaper stories, one involving Cat’s young daughter, and many Uruguayans identified with the aggrieved father, arguing that an attack on family honor was no different from a physical assault. The only legally and socially acceptable remedy for Cat was to challenge his slanderer to a duel, but Mibelli refused to accept challenges because he considered dueling elitist. In the end, the police report, the prosecutor’s brief, and the judge’s ruling each subtly distorted the details of the encounter to construct Cat’s attack as a quasi-duel, a frustrated attempt to “demand explanations” from Mibelli, following a ritualized script set down in the dueling codes of the era. Factually, Cat’s actions were no such thing, but by crafting the narrative of an “affair of honor” gone wrong, official lies reflected deeper cultural truths.

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 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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.657
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.010
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.051
GPT teacher head0.349
Teacher spread0.298 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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
Published2016
Admission routes1
Has abstractyes

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