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Record W2900484739

Military Legacy: Use It or Lose It?

2018· article· en· W2900484739 on OpenAlexaff
Taavi Laanapere, Tiia-Triin Truusa, Linda Cooper

Bibliographic record

VenueAnglia Ruskin Research Online (Anglia Ruskin University) · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Education and Societal Dynamics
Canadian institutionsImpact
Fundersnot available
KeywordsHabitusEstonianIdentity (music)DutyMilitary personnelOrder (exchange)Active dutyPolitical scienceField (mathematics)Public relationsSociologyLawBusiness
DOInot available

Abstract

fetched live from OpenAlex

This paper presents a Military Legacy Model that is designed to assist conscripts in forming a military identity during their training period, and later help them quickly re-establish their military attributes after they have been transferred to the Armed Forces’ reserves. This model can also be used to better understand the motivational dynamics of Estonian reservists who must regularly move back and forth between the civilian life and reservist duty. In order to create this framework we modified the Model of Transition in Veterans (hereinafter: MoTiVe) proposed by Cooper et al. 2017 and 2018.1 Both the MoTiVe and our Military Legacy Model are based on Bourdieu’s theoretical concepts of field, habitus and the conversion of capitals. Our hope is to foster further research into the Estonian Defence Forces (hereinafter: EDF) reserves in particular, as well as conscripts and reservists in other countries in general.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.272
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0030.003
Scholarly communication0.0000.002
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.211
GPT teacher head0.440
Teacher spread0.228 · 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; both teacher heads agree on what is shown here.

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
Published2018
Admission routes1
Has abstractyes

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