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Record W2067178272 · doi:10.1191/0968344503wh271oa

Documenting War and Forging Reputations: Sir Max Aitken and the Canadian War Records Office in the First World War

2003· article· en· W2067178272 on OpenAlexaboutno aff
Tim Cook

Bibliographic record

VenueWar in History · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsSpanish Civil WarBattlefieldWorld War IICabinet (room)Front (military)HistoryReputationLawFirst world warPromotion (chess)Political scienceEconomic historyEngineeringAncient historyArchaeology

Abstract

fetched live from OpenAlex

Although the Canadian Corps was one of the finest fighting formations on the Western Front during the First World War and earned a reputation as the shock troops of the British Expeditionary Force, the Corps had an active propaganda campaign that publicized Canadian uniqueness throughout the war. The organization behind this promotion was the Canadian War Records Office, headed by Sir Max Aitken, who nurtured a relentless campaign extolling the heroic deeds of Canadians in France. With an eye on the future, Aitken ensured that the image constructed of the Canadian soldier was not only based in battlefield accomplishments but also articulated through the legacy of war records and a barrage of media productions.

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)0.004
metaresearch head score (Gemma)0.008
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.066
Threshold uncertainty score0.480

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0550.018
Scholarly communication0.0140.006
Open science0.0010.004
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0060.001

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 head0.014
GPT teacher head0.222
Teacher spread0.208 · 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

Citations14
Published2003
Admission routes1
Has abstractyes

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