Warrior and peacekeeper role identities: associations with self-esteem, organizational commitment and organizational citizenship behavior
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.
Bibliographic record
Abstract
Abstract This article focuses on military role identity by assessing the relations between demographic variables and warrior and peacekeeper role identities and by examining the potential influence of these role identities on self-esteem, organizational commitment and organizational citizenship behavior (OCB) in a cross-national sample. A questionnaire was distributed to military members in four participating countries: Belgium, Estonia, Canada and the Netherlands ( n = 831). The findings show that demographic variables (i.e., age, gender, marital status and unit) are related to military role identity, and that military role identity predicts self-esteem, organizational commitment and OCB. In particular, multiple regression analyses demonstrate that peacekeeper role identity predicts self-esteem, organizational commitment and OCB, whereas warrior role identity only predicts organizational commitment and OCB, and further, that peacekeeper role identity is a stronger predictor of the outcome variables measured. The theoretical and practical implications, including providing commanders with information to assess their units’ mindsets, and mechanisms to improve self-esteem, commitment, OCB, are discussed. Finally, the limitations of this study and its potential for future research are described.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it