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Record W7128662271

La guerra de Malvinas en la Norpatagonia: experiencias de soldados conscriptos de la Primera sección de abastecimiento y de vecinos en San Antonio Oeste (Río Negro)

2025· article· es· W7128662271 on OpenAlexaboutno aff
Carlos Sebastián Ciccone

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2025
Typearticle
Languagees
FieldSocial Sciences
TopicArgentine historical studies
Canadian institutionsnot available
Fundersnot available
KeywordsFirst world warNova scotiaPoliticsSpanish Civil War
DOInot available

Abstract

fetched live from OpenAlex

Despite being located north of the 42° parallel, a city of Río Negro called San Antonio Oeste uniquely experienced the Malvinas War: as part of theTeatro de Operaciones Sur and serving as the last stop of trains on the northern Patagonian coast, it became the seat of the Primera sección de abastecimiento, a group dedicated to providing care to hundreds of soldiers who passed through on their way to the south continental bases and the Malvinas Islands. Little is known about San Antonio's role and the experiences of the soldiers stationed there. Faced with this knowledge gap, and drawing on contributions from the Sociocultural History of the war, Regional History, and Recent History, we propose to reconstruct analyse the experiences of the Primera sección de abastecimiento’ conscript soldiers and the local residents of San Antonio Oeste during their stay in San Antonio during Malvinas’ war. The documentary corpus consists of government and military documentation, interviews with local residents and stationed soldiers, who provided their testimony, and personal archives.

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)0.001
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 score0.232
Threshold uncertainty score0.461

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0070.005
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.109
GPT teacher head0.545
Teacher spread0.436 · 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
Published2025
Admission routes1
Has abstractyes

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