Cellphones Beyond the Workshop: Youth Researchers Owning Gender Transformative Change Through Participatory Visual Research in Rural India During COVID-19
Bibliographic record
Abstract
Abstract Participatory visual methods are a means for marginalized communities to engage in research for social change. However, the technology gap, especially for economically disadvantaged youth in the Global South, can exclude groups from sustained participation in project activities. This article explores the significance of providing 20 Youth Researchers (YRs) with cellphones that they could keep and the impact of this cellphone ownership on research activities during COVID-19. The YRs learned how to use cellphones for cellphilm and photovoice methods to research gender-based violence (GBV) and sexual and reproductive health and rights (SRHR) in Odisha, India. Beyond the workshop, when YRs returned to their rural communities, they navigated multiple waves of COVID-19. Being sensitized to issues of gender equality and social justice, they used their cellphones to draw attention to issues of GBV and SRHR, public health, social justice, and equality. The ‘beyond the workshop’ outputs were indicative of the intersectional impacts of youth in their rural contexts during this unprecedented time and demonstrate how acquiring cellphones can promote youth ownership of project activities, personal transformation for YRs and youth-led advocacy.
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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 | 0.006 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.010 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".