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Record W1601623203

The Second Battle of Ypres and 100 Years of Remembrance

2015· article· en· W1601623203 on OpenAlexaffabout
Ryan Flavelle

Bibliographic record

VenueScholars Commons (Wilfrid Laurier University) · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicArchaeological and Historical Studies
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsBattleAncient historyHistory
DOInot available

Abstract

fetched live from OpenAlex

The 100th Anniversary of the Second Battle of Ypres was marked with Royal Attendance of a remembrance ceremony and, perhaps more importantly to most Canadians, a "shout-out" to the battle given by Don Cherry on Coach's Corner.The ways in which this battle has been remembered and written about have shifted significantly in the last 100 years, and this paper attempts to chart some of the ways in which it has been understood by scholars and soldiers. Just outside of the Belgian town of Ypres, a few paces from the village of St. Julien, at the former site of an intersection known as Vancouver Corner, the granite figure of a brooding soldier-bowed but unbroken-rises on a granite plinth to monumental height.At eleven metres high, the soldier looks down on an otherwise sleepy intersection.The base of the memorial is inscribed simply with the word "Canada."It is surrounded by trees, farm buildings, and military cemeteries-thirty-two can be found within the twenty kilometres enclosed by Ypres, Vancouver Corner, and Langemark, more than one military cemetery per square kilometre.1The soldier's face, bowed in the position of repose, is anonymous.He emerges from the top portion of the granite slab, and only his head, shoulders, and arms are visible.His rifle cannot be identified as either the much-maligned 1 Figure calculated using Google Earth and data from, "Cemeteries in the Ypres Salient, Belgium,"

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.914
Threshold uncertainty score0.171

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.005
Scholarly communication0.0060.003
Open science0.0010.008
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0440.010

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 head0.039
GPT teacher head0.201
Teacher spread0.162 · 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

Citations3
Published2015
Admission routes2
Has abstractyes

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