“Young Women My Age Really Need Boosts Like This”: Exploring Improv as a Facilitator of Wellness Among Young Women of Color
Bibliographic record
Abstract
This project qualitatively examined the potential of scenic improvisation ("improv") for engaging young women of color as a possible means of promoting and enhancing health and wellness outcomes in this often-overlooked population. Seven young women of color (ages 15-18), accessing virtual after-school programming, participated in a three-session professionally facilitated improv workshop series. Participants provided insights through in-depth pre- and postproject qualitative interviews about their experiences. Participants indicated that improv boosted their self-esteem and strengthened their social connections. Participants were enthusiastic about accessing further improv opportunities, noting that improv should be embedded into other youth-serving programs and health-promotion efforts, as such approaches were deemed as particularly needed among young women of color. Inclusion of improv activities in intervention and prevention efforts would benefit from additional exploration as ways by which health and wellness programs and supports might be innovated and tailored to the specific needs and preferences of young women of color.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| 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".