Exploring the Role of School Engagement in Predicting Resilience Among Bahamian Youth
Bibliographic record
Abstract
In the simplest terms, resilience is doing better than expected, particularly given the presence of some disadvantage that threatens positive outcomes. Like many other countries worldwide, The Bahamas has areas of poverty that provide many challenges for families raising children. Although the consequences of poverty are rampant, not all the youth who are raised in these conditions succumb to these effects. This study sought to identify the internal and external factors that are predictive of resilience in a sample of 103 urban Bahamian students. Ninth- and 11th-grade students from two local public schools completed surveys. Of special interest to this study was the relationship between school engagement and resilience. Although school engagement was significantly positively related to resilience, it was overshadowed by other factors when included in the resilience regression model. Relationships with parents and nonparental adults, involvement in meaningful activity, and self-efficacy were significant predictors of resilience in this sample of urban Bahamian students.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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".