An Intervention to Enhance Social, Emotional, and Identity Learning for Very Young Adolescents and Support Gender Equity: Protocol for a Pragmatic Randomized Controlled Trial
Bibliographic record
Abstract
BACKGROUND: The onset of puberty is a pivotal period of human development that is associated with significant changes in cognitive, social, emotional, psychological, and behavioral processes that shape identity formation. Very early adolescence provides a critical opportunity to shape identity formation around gender norms, attitudes, and beliefs before inequitable gender norms are amplified during and after puberty. OBJECTIVE: The aim of the Discover Learning Project is to integrate strategic insights from developmental science to promote positive transformation in social, emotional, and gender identity learning among 10- to 11-year-olds in Tanzania. Through a pragmatic randomized controlled trial, the intervention scaffolds the development of critical social and emotional mindsets and skills (curiosity, generosity, persistence, purpose, growth mindset, and teamwork) delivered by conducting 18 after-school, technology-driven, experiential learning sessions in small, mixed-gender groups. METHODS: The Discover Learning Intervention is a 3-arm randomized controlled trial that will be delivered to 579 participants selected from four public primary schools in Temeke District, Dar es Salaam, Tanzania. Randomization will be done at the individual level into 3 treatment groups receiving incremental intervention components. The treatment components include Discover Learning content curated into child-friendly videos, facilitated discussions, and a parent-child workbook, to be implemented over two phases, each 6 weeks long. A baseline survey will be administered to participants and their parents prior to the intervention. The process will be observed systematically, and data will be collected using surveys, in-depth interviews, observations, and focus group discussions with adolescents, parents, teachers, and facilitators conducted prior, during, and after each implementation phase. RESULTS: This study builds on formative and pilot studies conducted with the target population to inform the design of the intervention. The results will generate new evidence that will inform strategies for achieving scale in Tanzania and provide insights for replication of similar programs that are invested in gender-transformative interventions in peri-urban, low-resource settings. CONCLUSIONS: The Discover Learning Intervention makes an important contribution to the field of adolescent developmental science as an intervention designed for very young adolescents in a low-resource setting. TRIAL REGISTRATION: ClinicalTrials.gov NCT04458077; https://clinicaltrials.gov/ct2/show/NCT04458077. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/23071.
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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 | 0.031 | 0.027 |
| Meta-epidemiology (narrow) | 0.006 | 0.003 |
| Meta-epidemiology (broad) | 0.011 | 0.006 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.008 | 0.008 |
| Insufficient payload (model declined to judge) | 0.076 | 0.009 |
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".