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Record W4408674360 · doi:10.1093/isagsq/ksaf017

Affective Archives of the Disappeared

2024· article· en· W4408674360 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGlobal Studies Quarterly · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicAsian American and Pacific Histories
Canadian institutionsUniversity of TorontoUniversity of British Columbia
Fundersnot available
KeywordsPsychologyInternet privacyComputer science

Abstract

fetched live from OpenAlex

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.

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.

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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.980
Threshold uncertainty score0.614

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 studies0.0000.002
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 head0.013
GPT teacher head0.314
Teacher spread0.302 · 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