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Record W4312366688 · doi:10.15826/izv2.2022.24.3.060

Between Two Fires? Austro-Hungarian Soldiers of Italian Origin during World War I. Review of: Di Michele, A. (2022). Mezh dvukh mundirov. Italoiazychnye poddannye Avstro-Vengerskoi imperii na Pervoi mirovoi voine i v russkom plenu [Between Two Uniforms. Italian-Speaking Subjects of the Austro-Hungarian Empire in World War I and in Russian Captivity] (M. G. Talalay, Trans. & Ed.). Italiia — Rossia. St Petersburg: Aleteja, 2022. 286 p., ill.

2022· article· en· W4312366688 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueIzvestia of the Ural federal university Series 2 Humanities and Arts · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCentral European national history
Canadian institutionsnot available
FundersUral Federal University
KeywordsQuarter (Canadian coin)PoliticsIdentity (music)CaptivityHistoryPopulationPolitical scienceWorld War IIAncient historyEconomic historyHumanitiesSociologyLawDemographyArtArchaeology

Abstract

fetched live from OpenAlex

This review considers the study by A. Di Michele, professor at the Free University of Bolzano (South Tyrol), dedicated to the pre-war and military experience, as well as the experience of captivity of Italian-speaking soldiers of the Austro-Hungarian army during World War I. The main emphasis is placed on its role in the process of their ethno-cultural and ethno-political self-identification, directly related to the population and identity politics pursued by the states of Europe and Russia in the second half of the nineteenth — first quarter of the twentieth centuries. It demonstrates what gaps A. Di Michele’s study is able to fill and what problems to actualise, focusing simultaneously on the regional, national, and supranational contexts of the topic of Austro-Hungarian soldiers of Italian origin during World War I and in Russian captivity.

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.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.192
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.002
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.022
GPT teacher head0.242
Teacher spread0.221 · 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