Emerging Adults' Social Justice Engagement: Motivations, Barriers, and Social Identity
Why this work is in the frame
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Bibliographic record
Abstract
This study examines emerging adults' perceived motivations and barriers to social justice engagement, and how their social identities shape involvement. We conducted in-depth interviews with service-learning students (n = 30). Thematic analysis of interview data revealed that participants perceived several motivations and barriers to engagement, including the following: (a) the current political climate, (b) self-efficacy to make small-scale changes, (c) social support in action, (d) proximity to the social issue, (e) knowledge of resources, and (f) limited personal resources. Participants also described how their identities shaped engagement such that participants reflected upon their multiple privileged and marginalized identities and how their identities influenced their approach to engaging with a particular social issue. Findings have implications for recruiting and sustaining emerging adults' involvement in activities aimed at changing social issues.
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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 | 0.005 | 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 | 0.006 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 it