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Record W3201960274 · doi:10.4000/temoigner.4664

Continual justice in Argentina: Four wraiths of military rule

2016· article· fr· W3201960274 on OpenAlexaff
David Sheinin

Bibliographic record

VenueTémoigner. Entre Histoire et Mémoire · 2016
Typearticle
Languagefr
FieldArts and Humanities
TopicHistorical and Contemporary Political Dynamics
Canadian institutionsTrent University
Fundersnot available
KeywordsDictatorshipTransitional justiceEconomic JusticeDemocracyChangeoverPolitical scienceLawOrder (exchange)PoliticsEconomicsEngineering

Abstract

fetched live from OpenAlex

In Argentina, transitional justice since 1980 is marked by the changeover from brutal dictatorship to nascent democracy where the latter restored judicial order in part by punishing perpetrators of violence. Transitional justice, though, can only be as effective as its capacity to right past wrongs legally, politically, philosophically, and morally. Over the past thirty-five years, the Argentine case is mixed. Dozens of torturers and killers from the last dictatorship (1976-1983) have been p...

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)0.002
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.066
Threshold uncertainty score0.132

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.012
Scholarly communication0.0050.002
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.019
GPT teacher head0.220
Teacher spread0.201 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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