The next mission: Inequality and service‐to‐civilian career transition outcomes among 50+ military leavers
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 We examine the Service‐to‐Civilian career transition for Military leavers aged 50 and above (50+). The exit age of our sampled group means that it is more likely that they hold senior‐ranked positions across both Officer and Soldier career pathways. Despite both groups having access to similar transition opportunities and resources, we find that their work‐lives are underpinned with economic, social, and structural inequality. This inequality has substantive effects on their employment transition outcomes. Our focus group data suggest that Soldiers have unequal access to formal (e.g., Career Transition Partnership programmes) and informal (e.g., social networks) transition support resources compared to Officers. Employing a structural equation modelling approach to analyse 183 survey responses, we found that Soldiers are more likely to apply for, and subsequently take, civilian work that is below their skills level. In turn, Soldiers are significantly less satisfied with their civilian work than Officers.
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 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 | 0.004 | 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 | 0.007 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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