On noticing (and) the theory-practice nexus in mathematics teacher education: Conceptualizing new Bourdieuian fields of social practice in field experience
Bibliographic record
Abstract
Through a teacher educator’s study of her own practice as a faculty advisor (university supervisor), this paper focuses on studying theory-practice transitions with respect to mathematics pre-service teacher field experience. The purpose of the research study was to disrupt traditional discourses on these theory-practice transitions by reconceptualising the role of the faculty advisor through the development of a Teacher-Intern-Faculty Advisor (TIFA) Learning Community. Drawing on Bourdieu’s social field theory, this paper establishes the TIFA community as a productive space of collaboration and dialogue on the process of becoming a mathematics teacher. The paper proposes that this productive space functions as a new Bourdieuian field which rests in the theory-practice nexus and holds promise for deconstructing the scripts of fields in pre-service teacher education.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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".