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Record W2993891709

Identifying the Enemy in First World War Canada: The Historiography and Bureaucracy of Enemy Alien Internment and Registration

2019· article· en· W2993891709 on OpenAlexaboutno aff
Mary Chaktsiris

Bibliographic record

VenueScholars Commons (Wilfrid Laurier University) · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicWorld Wars: History, Literature, and Impact
Canadian institutionsnot available
Fundersnot available
KeywordsAdversaryHistoriographyAlienBureaucracyHistoryPolitical scienceLawComputer securityComputer science
DOInot available

Abstract

fetched live from OpenAlex

Over 8,000 people identified as enemy aliens were interned in Canada during the Great War. Another 80,000 people were required to register with authorities and report regularly. This article presents an overview of historiography about First World War internment in Canada from 1914 to 1920 and explores the changing internment and registration regulations during that period. The results suggest that narratives about First World War internment sit uncomfortably within a Canadian historiography focused on a nation-building narrative. During the Great War, the ability to use wartime legislation to control populations viewed as problematic overshadowed government claims that the internment of enemy aliens was principally about national security. Internment regulations consistently changed over time and were unevenly enforced, leaving both citizens and authorities unsure about their responsibilities. These changes serve as an important reminder that regulations about national security are not carried out in isolation, and they usually involve other contributing social and economic pressures and prejudices.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.913
Threshold uncertainty score0.710

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.011
GPT teacher head0.216
Teacher spread0.205 · 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
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
Published2019
Admission routes1
Has abstractyes

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