Young women’s embodied inner narratives of desired future in mild-to-moderate depression
Bibliographic record
Abstract
This paper examines the lived experiences of seven young women with mild-to-moderate depression on dance-based participatory research from the perspective of narrative futuring (NF). The data consists of letters on desired future and reflective letters. The letters were analyzed with inductive thematic content analysis and later abductively interpreted with the concepts of inner and lived narratives drawn from the model of narrative circulation. The findings were condensed into four themes: 1) Love, self-respect, and self-actualization; 2) The tripod of peace of mind; 3) Peer support at significant turning points; and 4) The future. Overall, the method of danced NF facilitated a bodily connection, allowing the individual to discover personal meaning-making on depression, to envisage the possible desired future and to take steps towards it. Therefore, the corporeally and socially affirmed inner narratives contributed to the lived narratives. In conclusion, the findings suggest that embodied inner narratives derived from the desired future may contribute to lived narratives and improve mood in the short term. Although the findings must be considered preliminary, they may have practical implications for the prevention and alleviation of depression and possibly offer a multimodal and youth-friendly approach in health-care services.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.005 |
| 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".