Bibliographic record
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
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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 | 0.007 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.017 | 0.089 |
| Scholarly communication | 0.014 | 0.008 |
| Open science | 0.002 | 0.014 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.005 | 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".