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Record W144664975

“Every inch a fighting man:” a new perspective on the military career of a controversial Canadian, Sir Richard Turner

2012· dissertation· en· W144664975 on OpenAlexaboutno aff
William F. Stewart

Bibliographic record

VenueUPT. Syiah Kuala University Library (Syiah Kuala University) · 2012
Typedissertation
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsAdministration (probate law)CouragePoliticsPsychologyPolitical scienceManagementLawHistorySociology
DOInot available

Abstract

fetched live from OpenAlex

Lieutenant-General Sir Richard Ernest William Turner served Canada admirably in two wars and played an instrumental role in unifying veterans’ groups in the post-war period. His experience was unique in the Canadian Expeditionary Force; in that, it included senior command in both the combat and administrative aspects of the Canadian war effort. 
\nThis thesis, based on new primary research and interpretations, revises the prevalent view of Turner. The thesis recasts five key criticisms of Turner and presents a more balanced and informed assessment of Turner. His appointments were not the result of his political affiliation but because of his courage and capability. Rather than an incompetent field commander, Turner developed from a middling combat general to an effective division commander by late 1916. His transfer to England was the result of the need for a proficient field commander to reform the administration. Turner proved to be an excellent administrator, a strong nationalist, and was crucially responsible for improvements in administration and training in England. Finally, the conflict with Sir Arthur Currie, the commander of the Canadian Corps, rather than being motivated by obstructionist jealousy was the outcome of competing institutional imperatives and Currie’s challenging personality.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.329
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.003
Science and technology studies0.0040.001
Scholarly communication0.0000.003
Open science0.0020.000
Research integrity0.0010.001
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 head0.010
GPT teacher head0.181
Teacher spread0.170 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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
Published2012
Admission routes1
Has abstractyes

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