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Record W4403257401 · doi:10.1017/mit.2024.23

Enemy Aliens: internment and deportation policy in Great Britain, September 1939–June 1940

2024· article· en· W4403257401 on OpenAlexaboutno aff
Rachel Pistol

Bibliographic record

VenueModern Italy · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicFrench Historical and Cultural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsDeportationPolitical scienceAdversaryLawHistoryCriminologyImmigrationSociologyComputer security

Abstract

fetched live from OpenAlex

Abstract During the Second World War, Germans, Austrians and Italians living in Great Britain were designated as ‘enemy aliens’ and consequently interned. The worsening situation on the continent in May and June 1940 stirred up hysteria that spies and saboteurs could be amongst the Germans and Austrians. Mass arrests started in May 1940, and Italians were soon caught up in the detentions when Mussolini declared war on 10 June, thus filling internment camps to capacity. Canada and Australia agreed to take some of the ‘most dangerous characters’, facilitating the most controversial aspect of internment – deportation – which led to the ultimate tragedy when the SS Arandora Star was torpedoed and sunk on 2 July 1940. Building on previous scholarship that focuses on either German or Italian internment, this article examines both government policy towards and the internee experience of these two groups on an equal footing, thus furthering integration of the Italian narrative within internment historiography.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.278
Threshold uncertainty score0.552

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0070.005
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.024
GPT teacher head0.228
Teacher spread0.204 · 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 designNot applicable
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

Citations2
Published2024
Admission routes1
Has abstractyes

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