Low-Income Black Parents Supporting Their Children’s Success through Mentoring Circles
Bibliographic record
Abstract
This article presents the results of a parent engagement project called “Mentoring Circles.” The project focused on the needs of low-income Black parents who have children enrolled in the Toronto District School Board. Two focus groups, with seven to eight Black parents in each group, were conducted during the summer of 2018. The study drew on theories of community wealth and funds of knowledge (Gonzalez et al., 2005; Yosso, 2005), Black feminist theory (Collins, 2000; Crenshaw, 1991), and critical race theory (Delgado & Stefancic, 2012). The Black parent narratives served as counter-stories to stereotypes about Black parent disengagement in low-income communities. The low-income Black parents in the study were very engaged in their children’s education and were invested in their academic success. The Black parents strategized to support their children’s education by forming supportive peer mentoring networks and advocating for their children though relationship-building. The findings suggest that mentoring circles could serve as a model for engaging Black parents in the support of their children’s academic success. Keywords: Black Canadian children and youth, anti-Black racism, Black parents and students, low socio-economic status, race and ethnicity, social class
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".