Learning to Teach for Equity, Diversity, and Social Justice: A Mixed Methods Case Study of Initial Teacher Education in Ontario, Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Drawing on critical race theory, culturally and linguistically sustaining pedagogy, and ecological systems theory, this mixed methods case study explored the integration of equity, diversity, and social justice across one initial teacher education program in Ontario, Canada. Survey data (n=272) provided insight into prospective teachers’ endorsement of social-justice-related beliefs at program entry and exit. Demographic data were collected to obtain a current snapshot of initial teacher education representation rates, addressing a dearth of such data in the Ontario context. Semi-structured interviews were conducted with teacher candidates (n=15) and key stakeholders (n=4) to gain an understanding of how equity was conceptualized and operationalized (or not) within the program and how structures, policies, and practices enabled or constrained teacher candidates’ opportunities to learn about teaching for transformation.\nFindings revealed significant underrepresentation of Ontario’s broader racial, cultural, linguistic, and gender diversity, indicating a predominantly white, Canadian-born, cisgender, monolingual preservice cohort that stands in contrast to increasingly heterogeneous K-12 classrooms across the province. Results from the Learning to Teach for Social Justice-Beliefs scale (Ludlow et al., 2008) showed a stronger endorsement of social-justice-related beliefs by exiting teacher candidates than their entering counterparts, suggesting that impacting prospective teachers’ beliefs related to teaching for social justice can and should be a legitimate goal and targeted outcome of initial teacher education. Finally, participants reported varying experiences and levels of preparedness to orchestrate equity-centered practice. Program fragmentation, theory to practice gaps, a lack of purposeful practicum placement, and chronic underrepresentation emerged as significant constraints to the integration of a coherent and comprehensive vision for equity and diversity. Positive relationships, including those forged with peers and in-service teacher role models, emerged as enablers, as did prospective teachers’ individual agency and openness to new ways of thinking and doing.\nGiven the gaps in knowledge with regards to how emerging anti-racism and pro-diversity policy priorities are being implemented ‘on the ground’, teacher educators, administrators, and policymakers aiming to actualize their goals in concrete ways within initial teacher education programs can draw on this research for insight—to build on successes and find innovative and equity-focused ways to overcome persistent challenges.
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.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.002 |
| 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 it