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Record W7019412825

A Generation Curtailed: The Lifespans of Canada’s Pensioned Veterans of the Great War

2023· article· en· W7019412825 on OpenAlexaboutno aff

Bibliographic record

VenueScholars Commons (Wilfrid Laurier University) · 2023
Typearticle
Languageen
FieldMathematics
TopicTensor decomposition and applications
Canadian institutionsnot available
Fundersnot available
KeywordsLife expectancyVeterans AffairsPensionSample (material)Spanish Civil WarWorld War IICentenarianExpectancy theoryLongevityIraq war
DOInot available

Abstract

fetched live from OpenAlex

Despite long-time interest in links between the Great War and concepts of a Lost Generation, there have been few efforts to study veteran lifespans. The death dates of Canadian pensioned veterans recorded in the Department of Veterans Affairs pensions files, combined with those recorded in department’s death cards, offers an opportunity to quantify not just veteran life expectancy, but actual lifespans. The ensuing analysis of pensioned veteran lifespans suggests that research conducted in the mid 1930s by F. S. Burke for the Department of Veterans Affairs, which concluded that pensioned veteran life expectancy would exceed that of the average Canadian male, was incorrect. Instead of living longer than the average Canadian male, based on the Pension Sample compiled for this study, it appears that the number of pensioners who died young after the war is almost as high as the number of soldiers killed during the conflict.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.526
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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.048
GPT teacher head0.255
Teacher spread0.207 · 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.

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
Published2023
Admission routes1
Has abstractyes

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