Motivation to Move Out of the Community as a Moderator of Bullying Victimization and Delinquent Behavior: Comparing Non-Heterosexual/Cisgender and Heterosexual African American Adolescents in Chicago’s Southside
Bibliographic record
Abstract
A growing body of research documents that bullying victimization is associated with delinquent behavior. There is an increasing need to better illuminate the factors that might moderate this relationship. This study examined whether the motivation to move out of low-resourced neighborhoods and sexual orientation/gender identity moderated the relationship between bullying victimization and delinquent behavior among a sample of 450 heterosexual and 91 non-heterosexual/cisgender African American youths. Measures considered were bullying victimization, delinquent behavior, sexual orientation/gender identity, motivation to move out, and family demographics. Sexual orientation/gender identity was not associated with youth delinquent behavior after controlling for covariates. Being motivated to move out moderated the association between bullying victimization and delinquent behavior. Sexual orientation/gender identity and being motivated to move out of low-resourced communities jointly contributed to the moderating effect between bullying victimization and delinquent behavior. For non-heterosexual/cisgender youth, bullying victimization is correlated with increased delinquent behavior for those with low motivation to move out of their communities compared with those with an average or higher level of motivation to stay. However, such a moderating effect was not shown for heterosexual youth.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".