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Record W2156894731

A neglected story: German prisoners of war in Italy (1945-1947)

2011· article· en· W2156894731 on OpenAlexvenueno aff
Fererico Niglia

Bibliographic record

VenueJournal of military and strategic studies · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicItalian Fascism and Post-war Society
Canadian institutionsnot available
Fundersnot available
KeywordsGermanPrisoners of warHistoriographyIdeologyAdversaryIdentity (music)Political scienceWorld War IIPeriod (music)LawHistoryEconomic historySociologyCriminologyArtPoliticsAestheticsArchaeology
DOInot available

Abstract

fetched live from OpenAlex

The story of the detention of German prisoners in Italy transcends the experience just of the German army; it represents also an important moment for the story of many Italians. In Italian contemporary historiography what has been called the “saga of the vanquished” is gathering momentum. After a long period characterized by the ideological prohibition of studying the ‘wicked’, in the last two decades historians and writers of history are paying increasing attention to the people and groups that decided to remained loyal to Fascism. In this perspective a comprehensive assessment of the structures and rules that characterized the Allied camps in Italy can also contribute to a better understanding of the story of Fascist prisoners in the hands of the Anglo-Americans, and on the impact of Allied policies on an Italy which was both ally and ex-enemy; liberated and conquered. The experience of the internment of German prisoners after liberation represents, paradoxically, a significant moment both for the process of epuration from Fascism and the building of neo-fascist identity.

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)0.002
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 score0.060
Threshold uncertainty score0.118

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0110.009
Scholarly communication0.0040.003
Open science0.0010.004
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.058
GPT teacher head0.310
Teacher spread0.251 · 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
Published2011
Admission routes1
Has abstractyes

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