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Record W2883989382

The Forgotten Campaign: Newfoundland at Gallipoli

2018· article· en· W2883989382 on OpenAlexaboutno aff
Tim Cook, Mark Osborne Humphries

Bibliographic record

VenueScholars Commons (Wilfrid Laurier University) · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsHistory
DOInot available

Abstract

fetched live from OpenAlex

Gallipoli has no place in the collective memory of most Canadians and even among Newfoundlanders, Gallipoli has not garnered as much attention as the ill-fated attack at Beaumont Hamel. Although largely forgotten, Newfoundland’s expedition to Gallipoli was an important moment in the island’s history, one that helped shape the wartime identity of Newfoundlanders. Like other British Dominions, Newfoundland was linked to the Empire’s world-wide war experience and shared in aspects of that collective imperial identity, although that identity was refracted through a local lens shaped by the island’s unique history. Gallipoli was a brutal baptism of fire which challenged and confirmed popular assumptions about the Great War and laid the foundation of the island’s war mythology. This myth emphasized values of loyalty, sacrifice, and fidelity, affirming rather than reducing the island’s connection to Mother Britain, as was the case in the other Dominions. When in the early 1930s economic depression, financial mismanagement, and political gridlock led the government of Prime Minister Frederick Alderdice to end responsible government in 1934 and return governing authority to the British crown, Newfoundland’s war myth lost much of its meaning. After Confederation with Canada in 1949, Gallipoli was all but forgotten, but it has bled back into Newfoundlanders’ historical consciousness in recent years.

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)0.001
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 score0.046
Threshold uncertainty score0.226

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0170.004
Scholarly communication0.0060.002
Open science0.0010.004
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0260.002

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 head0.013
GPT teacher head0.221
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 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
Published2018
Admission routes1
Has abstractyes

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