Coping with fashion for mental health during the COVID-19 pandemic: Part I on engagement and mood
Bibliographic record
Abstract
This study is the first of two parts, investigating relationships with clothing during the COVID-19 pandemic by surveying 576 emerging adults in Canada. Clothing engagement, fashion involvement and the use of clothing for mood enhancement are examined in Part I. The pandemic led to increased or decreased clothing engagement, with main themes of reduced appearance management, exploration of fashion and style and new practices adopted for the COVID-19 lockdowns. Fear of COVID-19 was positively related to fashion involvement and mood enhancement practices. Emerging adults coped and improved mood through clothing by enhancing comfort, affect, body image, self-concept, self-esteem, self-expression, connection and motivation. The findings demonstrate that clothing was used to meet emotional and psychological needs of the wearer and cope with stressors during the pandemic. Clothing is proposed to be a significant tool in bolstering mental health. Part II of the study relays more findings centred on the effects of clothing on emerging adults’ mental health.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".