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Mussolini's Army in the French Riviera

2015· book· en· W4235965114 on OpenAlexaboutno aff
Emanuele Sica

Bibliographic record

VenueUniversity of Illinois Press eBooks · 2015
Typebook
Languageen
FieldSocial Sciences
TopicItalian Fascism and Post-war Society
Canadian institutionsnot available
Fundersnot available
KeywordsRivieraAnnexationPopulationPoliticsFace (sociological concept)Ancient historyQuarter (Canadian coin)HistoryGrassrootsGeographyPolitical scienceLawSociologyDemographyArchaeologySocial science

Abstract

fetched live from OpenAlex

In contrast to its brutal seizure of the Balkans, the Italian Army’s 1940–1943 relatively mild occupation of the French Riviera and nearby alpine regions bred the myth of the Italian <italic>brava gente</italic>, or good fellow, an agreeable occupier who abstained from the savage wartime behaviors so common across Europe. Employing a multi-tiered approach, this book examines the simultaneously conflicting and symbiotic relationship between the French population and Italian soldiers. At the grassroots level, the book asserts that the cultural proximity between the soldiers and the local population, one-quarter of which was Italian, smoothed the sharp angles of miscommunication and cultural faux-pas at a time of great uncertainty. At the same time, it encouraged a laxness in discipline that manifested as fraternization and black marketeering. The book’s analysis of political tensions highlights how French prefects and mayors fought to keep the tatters of sovereignty in the face of military occupation. In addition, it reveals the tense relationship between Fascist civilian authorities eager to fulfill imperial dreams of annexation and army leaders desperate to prevent any action that might provoke French insurrection.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.280
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.033
GPT teacher head0.243
Teacher spread0.211 · 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 teacher head, 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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