Bibliographic record
Abstract
Abstract In this article, we consider the memory practices of families whose loved ones were forcibly disappeared during periods of political violence. The families of the disappeared live with an ambiguous loss, often in highly insecure contexts and state denial. Families maintain memory practices to keep loved ones present with them, refuse dehumanizing violence, and fuel hope. Such memory practices come into relation through acts of grief, love, and care for the missing, and constitute what we refer to as affective archives of the disappeared. Affective archives generate new ways of knowing and being in the face of not knowing and the rupture of losing a loved one. We see these practices as entangled in transitional justice (TJ) efforts, compelling states or international actors into action; but they also serve a purpose that exceeds the domain of TJ, offering alternate sites of life as possibility. Of relevance to this Special Issue, the concept of affective archives offers ways of approaching localization not as norm diffusion, empowerment, or local agency, but as pathways to epistemic justice.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.023 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".