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Record W749946292

State, Service, and Survival: Canada’s Great War Disabled, 1914-44

2015· dissertation· en· W749946292 on OpenAlexfundaboutno aff
Kellen Kurschinski

Bibliographic record

VenueMacSphere (McMaster University) · 2015
Typedissertation
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaCanadian Medical AssociationCNIBMcMaster UniversityU.S. Department of Veterans Affairs
KeywordsState (computer science)Service (business)HistoryPolitical scienceGenealogyEconomyComputer scienceEconomics
DOInot available

Abstract

fetched live from OpenAlex

The following dissertation examines the little-known history of Canada’s Great War disabled. During the Great War Canada mobilized 620,000 soldiers, most of them volunteers. Nearly 120,000 would one day receive compensation for a disability incurred on, or aggravated by military service. Thousands more suffered from related injuries, diseases, or traumas but lacked the documentary evidence necessary to garner material support from the state. The core objective of this dissertation is to explore how policy-makers responded to these challenges, and how their efforts shaped the daily experiences of veterans from all walks of life. By fusing an analysis of policy with a social history of disability, this study uncovers the multiple paths disabled veterans embarked upon during their civil re-establishment. Few followed unfirom trajectories. The affects of disability on a veteran’s wellbeing varied widely based on numerous factors including pre-war social standing, support networks, material resources, age, and overall health. While most studies of disability and the Great War have focued on the cultural, medical, or political impact of disability, few adequately explain how both government policy and extraneous forces affected the lives of disabled veterans. Utilizing a wealth of statistical data and a large sample group of case files, “State, Service, and Survival: Canada’s Great War Disabled, 1914-44” is the first Canadian study to address this gap in our collective understanding of the war’s legacy.

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), 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 score0.396
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0400.000

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 head0.012
GPT teacher head0.203
Teacher spread0.191 · 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

Citations1
Published2015
Admission routes2
Has abstractyes

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