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Record W2779825554

National myths and Pivotal Battles: The Case of Vimy

2017· article· en· W2779825554 on OpenAlexvenueaboutno aff
Rob Rutherdale

Bibliographic record

VenueJournal of military and strategic studies · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsBattleVictoryMythologyHistoryMeaning (existential)NewspaperPower (physics)Period (music)Political scienceSpanish Civil WarMedia studiesLawSociologyAncient historyArtAestheticsClassicsPoliticsPsychology
DOInot available

Abstract

fetched live from OpenAlex

This work on local responses to Canada's Great War examines public perceptions of the war overseas through studies of local parades, speeches, and the steady stream of newspaper reporting of a distant war overseas--a war imagined. The focus is on the earliest reports of the significance of Vimy Ridge as a strategically important and symbolically significant event. With respect to the battle as a Canadian-led victory, one might assume that real power of this battle "imagined" came later, especially during the interwar period when popular images of Vimy helped fuel the powerful nation-building thesis that Jonathan Vance has considered. Through these contrasting accounts, he traces the origins of the battle's most powerful symbolism back to first public stories in Canada of the Canadian Corps at Vimy, from descriptions of the fighting itself and ultimate victory to the earliest attempts to generate the meaning of Vimy for all Canadians.

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)0.005
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 score0.201
Threshold uncertainty score0.404

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0640.040
Scholarly communication0.0090.004
Open science0.0020.006
Research integrity0.0030.008
Insufficient payload (model declined to judge)0.0040.000

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 head0.059
GPT teacher head0.320
Teacher spread0.261 · 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

Citations0
Published2017
Admission routes2
Has abstractyes

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