Embracing Diversity to Increase Belongingness and Foster a Culture of Success
Bibliographic record
Abstract
The importance of social relationships and belonging (a fundamental human need that must be satisfied to enable positive relationship-building skills and physical and mental wellness) have been studied for decades. Research shows a strong sense of belongingness for students can positively impact their academic performance. Belongingness, or a connection to school, peers, and teachers, is strongly indicative of improved performance for historically marginalized, racially and culturally diverse students. St. Kizito school (pseudonym), an elementary school in a large urban center in Alberta, has a diverse demographic of students including many first-generation Canadians, new Canadians, and refugee students. School-based data shows that not all students have a strong connection to their school, teachers, or classmates. Some teachers may not be adequately prepared to use meaningful instructional strategies that promote belongingness for all students. Not all teacher training programs include instruction in cultural responsiveness and fostering meaningful connections. Therefore, it is proposed to provide such training at St. Kizito school through professional learning communities. Implementing pedagogical practices that allow teachers to support racially and culturally diverse students and promote a sense of belongingness are explored through authentic and culturally responsive school leadership and an inquiry change model.\nKeywords: belongingness, relationships, academic performance, marginalized, racially and culturally diverse, professional learning communities, authentic leadership, culturally responsive school leadership
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| 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".