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Record W3134548144 · doi:10.21061/jvs.v7i1.225

The Case for Veteran- Friendly Higher Education in Canada and the United Kingdom

2021· article· en· W3134548144 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Veterans Studies · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Military Integration
Canadian institutionsWestern University
Fundersnot available
KeywordsPolitical scienceKingdomPublic relationsHigher educationEconomic growthPublic administrationLawEconomics

Abstract

fetched live from OpenAlex

This paper presents the case for greater effort to encourage former armed forces members, otherwise known as veterans, to access and thrive in higher education institutions in Canada and the United Kingdom (UK). By looking at existing research, almost exclusively conducted in the United States (US) and Australia, it proposes that similar efforts should be applied in Canadian and UK contexts. Whereas the US has developed educational opportunities and policies for this community since the inception of the 1944 GI Bill, Australia and Canada seem only now to be increasing attention in this area, while the UK appears not to be doing so at all. Building on this lengthy, primarily US research base and attention, along with nascent investigation and recommendations in Australia, the authors consider how both Canada and the UK might develop similar initiatives. These include targeted marketing and financial packages aimed at veterans, improved monitoring and support for them, and the creation of student veteran and staff associations and other peer support mechanisms. It is argued that this will not just benefit the student veterans concerned, but also the institutions they choose to study with, and the wider Canadian and UK societies they inhabit.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.395
Threshold uncertainty score0.419

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.075
GPT teacher head0.397
Teacher spread0.321 · 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