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Record W2053262837 · doi:10.1080/14797580109367243

Pedagogical law and abject rage in post‐trauma society

2001· article· en· W2053262837 on OpenAlexaff
Mario Di Paolantonio

Bibliographic record

VenueCultural Values · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicLaw in Society and Culture
Canadian institutionsUniversity of TorontoCanadian Historical Association
Fundersnot available
KeywordsBracketing (phenomenology)SociologyNormativeRage (emotion)SolidarityEvent (particle physics)DictatorshipThe ImaginaryLawPoliticsAestheticsEpistemologyPsychoanalysisPsychologySocial psychologyPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Abstract This article explores the ethical consequences of the seemingly benign suggestion that the retelling of an event of state sponsored violence through the protocols of the law can provide a lesson/forum for fostering “discursive solidarity.” Focusing on the example of post‐dictatorship Argentina, the apparent pedagogical soundness of transmitting the traumatic event through legal commemoration will be complicated by considering how the law is employed as a mechanism for bracketing divisive memories and affects that interrupt the coherence of the national imaginary. Underlining these issues will be a concern with the difficulty of historicizing abject affections, of interpreting and transmitting post‐traumatic rage through the intertextual web of normative allusions. The discussion grapples not only with the political/practical consequences of attempting to absorb and transmit (hermeneutically) the disavowed affects of a social traumatic event, but also speculatively gestures us to consider another sense of justice: one that provides the impetus to confront how we are obligated before that which is lost through our terms.1

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.606
Threshold uncertainty score0.559

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.095
GPT teacher head0.379
Teacher spread0.284 · 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.

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

Citations14
Published2001
Admission routes1
Has abstractyes

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