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Record W4362475048 · doi:10.15273/allons-y.v7i0.11551

Moral Injury - A Window into Damaging and Injurious Contexts

2023· article· en· W4362475048 on OpenAlexvenueno aff
Marianela Fuertes

Bibliographic record

VenueAllons-y Journal of Children Peace and Security · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicTorture, Ethics, and Law
Canadian institutionsnot available
Fundersnot available
KeywordsMoral injuryContext (archaeology)Vulnerability (computing)Moral disengagementIndividualismSocial cognitive theory of moralityPsychologySocial psychologySociologyPolitical scienceLawComputer securityComputer science

Abstract

fetched live from OpenAlex

Moral Injury is a concept developing in psychology literature to review the impact of war on veterans and has especially focused on individual symptoms and finding clear diagnosis tools. This paper explores the connection between moral injury and the context in which they occur, a relationship that provides valuable understanding about the experience, but also the systemic factors that increase the vulnerability. The article begins by setting the groundwork for the discussion and introducing moral injury and its associate concepts. Part two explores the institutional dimension of moral injury and how an individual's professions can contribute to the injury. Part three proposes how moral injury insights can be implemented as guiding principles within peace and security, and particularly in peacekeeping missions. The final conclusion points to the context and the institutional system as the frame where personal reaction, values and systemic influences combine to produce moral injury. Therefore, looking for solutions to prevent and treat moral injury must acknowledge the true roots causes of distress that is not part of individualistic pathologizing mental health diagnosis.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.322
Threshold uncertainty score0.529

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.013
GPT teacher head0.310
Teacher spread0.297 · 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 designObservational
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
Published2023
Admission routes1
Has abstractyes

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Same venueAllons-y Journal of Children Peace and SecuritySame topicTorture, Ethics, and LawFrench-language works237,207