Pedagogists and educators engaging ethical-political dimensions of early childhood education
Bibliographic record
Abstract
This article explores how pedagogists (pedagogical leaders) and early childhood educators engage in ethical-political work within everyday practices in early childhood centers. We argue for modes of educator engagement that foster rich educational experiences while preserving the ethical-political dimensions of education. We draw on a project that focuses on educating educators to re-envision quality in Canadian early childhood education. The research is situated within postqualitative approaches that resist universal categories, attending instead to the situated, relational, and contingent nature of research. In a postqualitative manner, we offer four stories—educators and pedagogists working in the midst of complex circumstances, rethinking early childhood education’s lexicon, composing educational spaces, and forging situated curricula—that highlight the complexity of the educator-pedagogist relationship. The article emphasizes the need to rethink traditional professional learning models, with significant implications for early childhood education.
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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 | 0.016 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.020 | 0.051 |
| Scholarly communication | 0.014 | 0.007 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.004 | 0.008 |
| 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".