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Record W1860697496 · doi:10.14288/acme.v6i1.764

Taller “Hermanos de Desaparecidos: ... Proyecto Archivo Biográfico Familiar de Abuelas de la Plaza de Mayo” y la Agenda neoliberal, en el VI Foro Social Mundial de Caracas-Venezuela

2015· article· es· W1860697496 on OpenAlexaff
Ana Isla

Bibliographic record

VenueOpen Collections · 2015
Typearticle
Languagees
FieldPsychology
TopicMemory, violence, and history
Canadian institutionsBrock University
Fundersnot available
KeywordsHumanitiesPolitical scienceSociologyArt

Abstract

fetched live from OpenAlex

Este informe discute uno de los talleres del VI Foro Social Mundial en Venezuela titulado “Proyecto Biográfico del Archivo Familiar de Abuelas de Plaza de Mayo”. Se discute también la relación de este taller con los objetivos más amplios del Foro Social Mundial. El taller se opuso a la agenda neoliberal y enfatizó la importancia de crear una sociedad centrada en el ser humano. Las historias de los participantes logran varios objetivos: permiten establecer una conexión entre la variedad de los proyectos represivos y la agenda neoliberal; documentar historias que de otra forma serían invisibles; reconstruir los horribles eventos y el trauma histórico de sus comunidades; reescribir la historiografía convencional; y contribuir a los esfuerzos de juzgar a los implicados. Estas historias también traen a la luz la emergencia de América Latina en el capitalismo global como un proceso de violencia y destrucción originada en el interés económico de los Estados Unidos.

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)0.001
metaresearch head score (Gemma)0.004
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 score0.064
Threshold uncertainty score0.127

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.009
Scholarly communication0.0050.005
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0100.001

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 head0.036
GPT teacher head0.362
Teacher spread0.326 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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