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Record W2210344699 · doi:10.3138/jmvfh.2014-08

Military ethics and well-being: a soldier’s journey

2015· article· en· W2210344699 on OpenAlexaffvenue
Stéphanie A.H. Bélanger

Bibliographic record

VenueJournal of Military Veteran and Family Health · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicTorture, Ethics, and Law
Canadian institutionsRoyal Military College of Canada
Fundersnot available
KeywordsIndoctrinationWitnessContradictionBattlefieldMoral injuryIdentity (music)LawSociologyEnvironmental ethicsPolitical scienceCriminologyPsychologySocial psychologyHistoryEpistemologyAestheticsPoliticsIdeologyPhilosophy

Abstract

fetched live from OpenAlex

In light of emerging research on moral injuries, this article explores the impact of soldiers’ indoctrination on their identity after they have lived through the experience of war. The injuries that soldiers live and witness can act as a source of motivation to carry on in intensive combat, but are often internalized indefinitely, even after their return to the regiment. A discourse analysis will demonstrate the process by which the actors are able to overcome the moral combat and will discuss the conditions that are essential to efficient healing. Ultimately this article aims to illustrate how soldiers can free themselves from the reflexes and, more importantly, from the moral values that kept them alive on the battlefield but that are in contradiction with the moral values of the society in which they are trying to reintegrate themselves.

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)0.011
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.743
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.125
GPT teacher head0.387
Teacher spread0.262 · 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 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

Citations2
Published2015
Admission routes2
Has abstractyes

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