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Record W7083294769 · doi:10.7202/1120368ar

Young women’s embodied inner narratives of desired future in mild-to-moderate depression

2025· article· en· W7083294769 on OpenAlexvenueno aff

Bibliographic record

VenueNarrative Works · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Taxation and Avoidance
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativeEmbodied cognitionMoodLived experienceThematic analysisPerspective (graphical)Citizen journalismNarrative inquiry

Abstract

fetched live from OpenAlex

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.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0050.006
Scholarly communication0.0040.002
Open science0.0010.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.013
GPT teacher head0.245
Teacher spread0.232 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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