Community and Voice: Emphasizing Black and Latine Adolescents' Strengths Promotes Identity Alignment, Belonging, and Academic Persistence
Bibliographic record
Abstract
INTRODUCTION: The present research examined whether Black and Latine adolescents' academic persistence could be promoted through two novel strength-based reflection activities, providing them an opportunity to experience a sense of school belonging and to form meaningful connections between their racial/ethnic identity and their ideal future identity they aspired for. METHODS: A randomized-controlled experiment was conducted in the U.S. with Black and Latine adolescents (n = 278, including 134 girls and 117 boys, M = 14.05 years old). Academic persistence was assessed by examining two markers: how much adolescents were engaged in school, as well as how much they interpreted school difficulties as indicating the importance of school. RESULTS: Black and Latina girls assigned to the 'community resourcefulness reflection' who were invited to reflect on strategies and advice from their racial/ethnic communities (vs. their peers who were not) saw their racial/ethnic and ideal career identities as more aligned, which in turn was associated with increased academic engagement and increased likelihood of interpreting school difficulties as indicating school importance. Moreover, Black and Latine adolescents assigned to the "voice reflection" who were invited to reflect on how their voice could play a powerful role in spaces where they are underrepresented (vs. their peers who were not) reported more school belonging, which in turn was associated with increased academic engagement and increased likelihood of interpreting school difficulties as indicating school importance. CONCLUSIONS: These findings indicate that approaches focused on racial/ethnic strengths foster positive identity connections, school belonging, and academic persistence for adolescents of color.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".