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Record W2520322691 · doi:10.7202/1037081ar

Mort et disparition durant la dernière dictature militaire argentine (1976-1983) : les « disparus » et les soldats tombés lors de la Guerre des Malouines

2016· article· fr· W2520322691 on OpenAlexvenueno aff
Laura Marina Panizo, Alice Verstraeten

Bibliographic record

VenueFrontières · 2016
Typearticle
Languagefr
FieldPsychology
TopicMemory, violence, and history
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Dans cet article, je propose une synthèse des résultats de mes recherches sur la problématique de la mort violente et de l’absence de corps qui, dans le contexte de la dernière dictature militaire argentine, ne concerne pas seulement les victimes de la répression étatique mais touche également les soldats tombés pendant la Guerre des Malouines. Je tente de rendre compte de la façon dont deux groupes de proches se sont constitués à partir de la mort et de la disparition d’êtres chers, et ont élaboré des cadres d’interprétation pour donner du sens aux événements historiques survenus, afin de surmonter leurs pertes. Ces cadres d’interprétation, les pratiques quotidiennes et les croyances relatives à la mort se rétro-alimentent ; se construisent alors des liens spécifiques entre vivants et morts.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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: Empirical
Teacher disagreement score0.155
Threshold uncertainty score0.309

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.005
Scholarly communication0.0020.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.020
GPT teacher head0.315
Teacher spread0.295 · 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 designQualitative
Domainnot available
GenreEmpirical

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
Published2016
Admission routes1
Has abstractyes

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