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Record W2605963029 · doi:10.22584/nr44.2017.015

Cy Peck, VC, the Prince Rupert Company, and the Great War

2017· article· en· W2605963029 on OpenAlexvenueaboutno aff
Mark Zuehlke

Bibliographic record

VenueThe Northern Review · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsPeck (Imperial)BattleHistoryArchaeologyAncient history

Abstract

fetched live from OpenAlex

The Northern Review 44 (2017): 347–354On 24 April 1915 Major Cyrus Wesley Peck and his 225-strong contingent of men from Prince Rupert, British Columbia crossed the English Channel bound for No Man’s Land. The day was also notable for being Peck’s forty-fourth birthday. Peck, the owner of a real estate and insurance firm, had been instrumental in raising the Prince Rupert company in November 1914—managing to keep the unit together as it went through training in Canada and later England. Upon reaching the front lines the company reinforced the badly depleted ranks of the 16th Battalion (Canadian Scottish), which had been shredded two days earlier in the Canadian army’s baptism of fire at Kitchener’s Wood. Peck was made a company commander and the Prince Rupert troops were distributed throughout the battalion. This meant the story of Prince Rupert’s contribution to the Great War essentially mirrored that of the renowned Canadian Scottish battalion. On 3 November 1916 command of the battalion went to Peck. On 2 September 1918 Peck’s gallant leadership of the battalion in winning the pivotal Drocourt-Quéant Line battle earned him a Victoria Cross and the Canadian Scottish one of their most treasured Battle Honours. This article is part of a special collection of papers originally presented at a conference on “The North and the First World War,” held May 2016 in Whitehorse, Yukon. https://doi.org/10.22584/nr44.2017.015

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)0.001
metaresearch head score (Gemma)0.006
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 score0.956
Threshold uncertainty score0.088

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.004
Science and technology studies0.0020.003
Scholarly communication0.0060.004
Open science0.0010.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0200.004

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 head0.028
GPT teacher head0.280
Teacher spread0.251 · 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

Explore more

Same venueThe Northern ReviewSame topicCanadian Identity and HistoryFrench-language works237,207