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Record W2332058451 · doi:10.1177/1368430212461961

The ultimate sacrifice: Perceived peer honor predicts troops’ willingness to risk their lives

2012· article· en· W2332058451 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

VenueGroup Processes & Intergroup Relations · 2012
Typearticle
Languageen
FieldNeuroscience
TopicPsychology of Moral and Emotional Judgment
Canadian institutionsUniversity of WaterlooDefence Research and Development Canada
Fundersnot available
KeywordsHonorPsychologySocial psychologyDutyPerceptionLawPolitical science

Abstract

fetched live from OpenAlex

Honor is a central concept in the profession of arms. The present study of 2,254 Canadian Forces (CF) members examined how they viewed the honor of their peers at ranks below, at, or above their own. Although rank is itself a form of vertical honor, participants’ mean assessments of honor were inversely related to these relative-rank distinctions. As well, averaged across vertical honor, the assessed honor of other CF members directly predicted their willingness to risk their lives in combat operations. This effect was fully mediated by participants’ affective commitment to the CF and it was partially mediated by their sense of duty. The findings show that how professionals perceive the honor of their peers does not simply follow vertical indices of honor, and that those perceptions predict attitudinal states (e.g., affective commitment) and behavioral intentions (willingness to risk one’s life to perform one’s duties).

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.438
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.051
GPT teacher head0.277
Teacher spread0.226 · 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