Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.025 | 0.012 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".