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Record W4311440926 · doi:10.7202/1094881ar

Evidence of Jorge

2022· article· en· W4311440926 on OpenAlexvenueno aff
Natalia Bermúdez Qvortrup, Marta Lucía Giraldo

Bibliographic record

VenueArchivaria · 2022
Typearticle
Languageen
FieldPsychology
TopicMemory, violence, and history
Canadian institutionsnot available
Fundersnot available
KeywordsImpunityRepertoirePoliticsInstinctAccountabilityTransitional justiceEconomic JusticeSisterSociologyHistoryPolitical scienceEnvironmental ethicsLawArtLiterature

Abstract

fetched live from OpenAlex

Jorge Soto Gallo disappeared on July 15, 1985, during a trip from Medellín to Bogotá in Colombia. Jorge is one of the thousands of disappeared people in Colombia whose families are still searching for answers, yet Jorge’s life and disappearance have been memorialized and recorded through his sister’s work of preserving, cultivating, and activating his personal archive. During recent decades, families of disappeared persons have begun to assemble folders that carry the evidence of disappearances. This article explores the personal archive of Jorge Soto Gallo with the aim of understanding a recordkeeping practice carried out by families and communities, which focuses on disappeared persons and often leads to a broad repertoire of political activism in defence of human rights. We ask, Which records are included, how are they brought together during these periods of upheaval, what do they mean, and what role do they play? We argue that creating and preserving these archives of enforced disappearance act as liberatory memory work (LMW) and as instincts of the families against forces of impunity and oblivion. We show that LMW is a living reality in Colombia that operates on a person-centred level, going beyond transitional justice frameworks, and turning victims into recordkeepers providing the possibility of historical accountability for future generations.

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)0.005
metaresearch head score (Gemma)0.026
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.072
Threshold uncertainty score0.143

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.026
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0140.015
Scholarly communication0.0060.004
Open science0.0020.007
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0090.001

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.

Opus teacher head0.059
GPT teacher head0.324
Teacher spread0.265 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations4
Published2022
Admission routes1
Has abstractyes

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