Bibliographic record
Abstract
Teaching for social justice is an explicit goal of most teacher education programs. However, this mandate has been criticized by scholars who claim that social justice is an undertheorized and vague concept that is often disconnected from methods courses that focus on content-specific pedagogies. This study seeks to address this disconnect by exploring how an Equity Literature Circles (ELC) framework within a literacy methods course can enhance teacher candidates’ (TCs’) understanding of the relationship between literacy instruction, diversity, and social justice. Drawing on the perceptions of ten TCs enrolled in a teacher education program in western Canada, data for the study was generated from classroom artifacts, an individual survey, and a focus group interview. Upon analysis of the data, the findings suggest that an ELC framework is an effective instructional strategy for enhancing TCs’ understanding of intersecting aspects of diversity, equity-focused literacy instruction, and teaching about and for social justice. Teaching for social justice is an explicit goal of most teacher education programs. However, this mandate has been criticized by scholars who claim that social justice is an undertheorized and vague concept that is often disconnected from methods courses that focus on content-specific pedagogies. This study seeks to address this disconnect by exploring how an Equity Literature Circles (ELC) framework within a literacy methods course can enhance teacher candidates’ (TCs’) understanding of the relationship between literacy instruction, diversity, and social justice. Drawing on the perceptions of ten TCs enrolled in a teacher education program in western Canada, data for the study was generated from classroom artifacts, an individual survey, and a focus group interview. Upon analysis of the data, the findings suggest that an ELC framework is an effective instructional strategy for enhancing TCs’ understanding of intersecting aspects of diversity, equity-focused literacy instruction, and teaching about and for social justice.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".