“No man's land”: the transition to civilian life
Bibliographic record
Abstract
Purpose Ex‐service personnel face numerous and significant problems upon discharge from the forces. The purpose of this paper is to explore experiences of the transition from military to civilian life and to identify some of the barriers and facilitators to re‐employment. Design/methodology/approach In‐depth interviews were carried out with 11 ex‐servicemen who had previously served in the UK armed forces and analysed using interpretative phenomenological analysis (IPA). Findings Participants described their experiences in terms of three broad themes: characteristics of a military life; loss as experienced upon return to civilian life; and the attempt to bridge the gap between these two lives. Transcending these themes was the notion of identity, illustrating that the transition from military to civilian life can be viewed as a shift in sense of self from soldier to civilian. Research limitations/implications The current study only recruited male ex‐service personnel and therefore the findings may not accurately represent the experiences of female service leavers. Practical implications The military needs to ensure that not only is support provided for all service personnel, but that it goes beyond basic vocational advice. Although the needs of ex‐service personnel are defined by factors other than unemployment, such as trauma or the sudden loss of security, they do relate back to unemployment in some capacity. Methodological changes to the discharge process could help this population to achieve a more continuous trajectory rather than a fragmented one. Originality/value The present study has provided further insight into the identity experiences of ex‐service personnel along their journey from soldier to civilian. Breakwell's Identity Process Theory provided a valuable framework for understanding the experiences of ex‐service personnel.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.010 | 0.013 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".