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Record W3094277387

First World War Internment in Canada: Enemy Aliens and the Blurring of the Military/Civilian Distinction

2020· article· en· W3094277387 on OpenAlexaboutno aff
Bohdan S. Kordan

Bibliographic record

VenueScholars Commons (Wilfrid Laurier University) · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsAdversaryPolitical scienceLawHistoryCriminologyComputer securityPsychologyComputer science
DOInot available

Abstract

fetched live from OpenAlex

In Canada during the First World War, where aliens of enemy origin were increasingly without work and destitute, internment offered a solution. Interned as prisoners of war (POWs)—a designation that sanctioned voluntary work unrelated to the war—such individuals were sent to frontier labour camps. Their POW designation, however, afforded them certain protections under the laws of war while their status as civilian prisoners suggested they were entitled to even greater consideration than captured combatants. Yet it was precisely their status as civilians that obviated any such consideration. They were not POWs as was conventionally understood. They were interned civilians without rights—enemy aliens—and would be treated as such. This blurring of the military/civilian distinction in Canada would lead to the mistreatment of interned enemy aliens and in the process define the First World War Canadian internment experience.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.215
Threshold uncertainty score0.910

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0490.014
Scholarly communication0.0070.002
Open science0.0020.007
Research integrity0.0020.007
Insufficient payload (model declined to judge)0.0080.000

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 head0.009
GPT teacher head0.168
Teacher spread0.160 · 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

Citations1
Published2020
Admission routes1
Has abstractyes

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