Gender differences in perceived racism threat and activism during the Black Lives Matter social justice movement for Black young adults
Bibliographic record
Abstract
A longitudinal study involving 455 Black young adults living in Canada investigated whether gender and autonomous motivation influenced the relationship between perceived racism threat and Black Lives Matter (BLM) activism, and whether BLM activism influenced life satisfaction over time. A moderated mediation analysis using PROCESS Macro Model 58 tested the indirect effect of autonomous motivation on the relationship between perceived racism threat and BLM activism varying by gender. Multiple linear regression assessed how well BLM activism predicted life satisfaction. Black women perceived greater racism threat than Black men related to increases in BLM activism via the influence of autonomous motivation. BLM activism had a positive influence on life satisfaction over time, regardless of gender. This research suggests Black young women are playing pivotal roles in the BLM movement and helps us understand how motivation may be influencing involvement and well-being in social justice issues.
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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 | 0.002 | 0.000 |
| 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 | 0.000 |
| 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".