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The socio-political influence of the Second World War Saskatchewan Aboriginal veterans, 1945-1960

2000· article· en· W27443450 on OpenAlexaboutno aff
Robert Alexander Innes

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
FundersNovo Nordisk FondenLundbeckfondenStrategiske Forskningsråd
KeywordsPoliticsWorld War IIPolitical scienceHistoryLaw

Abstract

fetched live from OpenAlex

2 Alistar Sweeny, "Government Policy and Saskatchewan Indian Veterans : A Brief History of the Canadian Government's Treatment of Indian Veterans of World Two" (Ottawa : Tyler, Wright and Daniel Ltd .1979) ; Native Law Centre, "Indian Veterans' Rights" (Saskatoon : U of Saskatchewan, 1979) The Native Law Centre's report also investigated the inequity of the administration benefits for Indian veterans from the Soldiers Settlement Act after the First World War .3 Sweeny 55 .4 Sweeny 68 .Indians who enfranchised relinquished their status as Indians under the Indian Act and were no longer considered as wards of the government but citizens of Canada .Although there was a policy of forced enfranchise earlier in the century, this policy was not in effect during the war .'Native Law Centre 2 .6 Canada, "The Aboriginal Soldier After The Wars : Report of the Senate Committee on Aboriginal Peoples" (The Senate of Canada, Ottawa, 1995) .Hereafter cited as SSC . ' Canada, Looking Forward, Looking Back: Report of The Royal Commission on Aboriginal

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.057
Threshold uncertainty score0.155

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0060.003
Scholarly communication0.0020.000
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.005
GPT teacher head0.245
Teacher spread0.239 · 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
Published2000
Admission routes1
Has abstractyes

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