Wartime experiences and their implications for the everyday lives of older people
Bibliographic record
Abstract
ABSTRACT Past research has documented the influences that ‘traumatic’ memories of war have on older people's mental health (e.g.Post-Traumatic Stress Disorder). However, fewer studies have explored the longer-term implications of wartime experiences for older men and women's everyday lives. This article explores the impact of Second World War experiences on older men and women living in the United Kingdom (UK), to provide an insight into how such experiences influence how they construct their daily lives. Forty UK-based participants born between 1914 and 1923 were interviewed as part of the ENABLE-AGE project that was undertaken in five European countries. The key concepts underpinning the interview schedule were: home, independence, participation, health and wellbeing, and societal supports. The data were analysed using a grounded theory approach. Participants emphasised how wartime experiences continue to hold significance within their lives and settings some 60 years later. Seven themes emerged from the analysis. Four of these reflect the way wartime experiences remain important influences on participants' present-day social worlds: comradeship, storytelling about the war, community and alienation, and long-term physical effects. A further three themes reflect how skills and personal characteristics defined by wartime experiences are embedded in the way many older people continue to negotiate and structure their practical lives: managing, resilience and adaptability, and independence.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".