The Development and Validation of the Army Post-Deployment Reintegration Scale
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
For military personnel, the post-deployment period can be associated with changes affecting their quality of life, the quality of their close relationships, and their attitudes concerning their military careers. There is, however, little published research concerning this process, and a major weakness of the previous work is the lack of an established measuring instrument. This article describes the development of the Army Post-deployment Reintegration Scale assessing the attitudes of military personnel in three key areas. Study 1 found support for a multidimensional model of post-deployment reintegration attitudes. Study 2 refined the dimensionality of the model to the positive and negative aspects of personal, family, and work reintegration and reduced the length of the scale to 36 items and provided preliminary evidence of its factorial validity and internal consistency reliabilities. Finally, in Study 3, the subscales were correlated in predicted ways with personal- and organizational-level outcomes (e.g., posttraumatic stress disorder [PTSD], organizational commitment).
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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 | 0.001 | 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 | 0.000 |
| 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