The construction and interpretation of gender and race in initial teacher education
Bibliographic record
Abstract
My study's data describes three impediments to the inclusion of equity issues in initial teacher education: the ideological debate between theory and practice in teacher training; the concentration of equity issues in the area of social foundations and the small amount of time allocated to these topics; and the problematic reactions of student teachers to the inclusion of equity issues. Specifically, I examine student teachers' overt resistance to and denial of equity issues, and their tendency to individualize the occurrence of gender and race inequity to singular isolated events. The overall findings of the study demonstrate that social justice issues continue to exist in educational institutions, and that there are some dedicated teacher educators who address social justice concerns in their education courses, despite the personal and professional obstacles that have arisen during this journey. These teacher educators have hope for a better future. They see themselves as agents for change. To better understand the experiences of teacher educators who raise issues of gender and race in their preservice education courses and their students' reactions to the inclusions of such issues, I have conducted a study that examines how gender and race are included in a faculty of education. The major research questions are: How do teacher educators and their students construct and interpret the place of race and gender in initial teacher education? What are the impediments to the inclusion of gender and race issues in initial teacher education? How are issues of gender and race included in preservice education courses? What are the theoretical frameworks utilized by teacher educators to conceptualize gender and race in their education courses?This study draws on in-depth interviews and non-participant observations of 11 teacher educators (8 women and 3 men), 5 student teacher focus group interviews, and student teacher written in-class reflective tasks in one Canadian faculty of education. I utilize feminist poststructural theory, feminist pedagogical theory and resistance theory to describe how the concepts of difference, discourse, power and subjectivity have influenced feminist scholarship and my understanding of how race and gender are taken up by teacher educators and their students.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.010 | 0.036 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".