What makes the everyday life of Swedish adolescent girls less stressful: a qualitative analysis
Bibliographic record
Abstract
Stress is a widespread phenomenon in society today, not least among children and adolescents. Stress-related ill-health has increased in this population and affects girls to a greater extent than boys. Against this background, it is important to acquire knowledge about measures that prevent stress, especially in girls. The aim of this study was therefore to illuminate adolescent girls' experiences and reflections about what makes everyday life less stressful. An explorative design, qualitative content analysis, was used. In-depth interviews were conducted with fifteen 17-year-old girls. The analysis comprised both manifest and latent content and revealed the girls' own experiences of and reflections about what makes everyday life less stressful. Three categories, 'Enjoyment and Recovery', 'Trust' and 'Insight and Influence', and nine subcategories emerged. The latent content of these categories is described by the theme 'access to sources of strength'. It is essential that persons in the girls' surroundings are aware of all sources that provide the strength to resist and prevent stress in everyday life. A climate has to be created in all arenas of the girls' everyday life in which they can access these sources of strength. Utilizing the girls' experiences and views about what needs to be done is the first step towards a preventive and promotive mode of working on their own circumstances and wishes. This approach is consistent with the Ottawa Charter for Health Promotion, which emphasizes the importance of involving the target group.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".