MétaCan
Menu
Back to cohort
Record W2940766522

Exploring the Meaning of Indigenous Military Service during the Second World War in Australia, Canada, New Zealand and the United States

2018· article· en· W2940766522 on OpenAlexaffvenueabout
R. Scott Sheffield

Bibliographic record

VenueJournal of military and strategic studies · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicMilitary, Security, and Education Studies
Canadian institutionsUniversity of the Fraser Valley
Fundersnot available
KeywordsIndigenousMilitary serviceDemobilizationMeaning (existential)Context (archaeology)DemocracyDiversity (politics)Subject (documents)Political scienceGender studiesFace (sociological concept)World War IIMilitary personnelSociologyPoliticsLawHistoryPsychologySocial science
DOInot available

Abstract

fetched live from OpenAlex

This article explores the meaning of military service for Indigenous men who volunteered during the Second World War. At its core, this question can help elucidate what is often the “big why?” invariably asked by people encountering this subject for the first time: why did young Indigenous men fight for a freedom, democracy and equality that they had never experienced? Employing a transnational lens, the article seeks to do interrelated things. First, it examines the meaning of military service for Indigenous men in each of three distinct phases: prior to their enlistment, while serving in the army and in combat, and after demobilisation and transitioning to veterans. Second, this study considers Indigenous perspectives and experiences in relation to, and the broader context of, the non-Indigenous comrades-in-arms with whom they enlisted, served, and sacrificed. In the end, this examination reveals a diversity of interpretations amongst Indigenous soldiers at each stage, but cannot be definitive in the face of such complexity and the ultimately idiosyncratic and personal nature of veterans’ lived experiences.

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)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.096
Threshold uncertainty score0.232

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0200.023
Scholarly communication0.0050.003
Open science0.0010.007
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.105
GPT teacher head0.313
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 designQualitative
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

Citations1
Published2018
Admission routes3
Has abstractyes

Explore more

Same venueJournal of military and strategic studiesSame topicMilitary, Security, and Education StudiesFrench-language works237,207