Exploring the role of Black feminist thought in pre-service early childhood education: On the possibilities of embedded transformative change
Bibliographic record
Abstract
As a Black feminist scholar who teaches in an early childhood studies program, the author has witnessed how dominant theories and methods used for pre-service early childhood education and care disconnect students from their lived experiences. The detachment of social location in theoretical text, and particularly in developmental discourse, is not isolated to the field; it is instead a result of the fragmentation of knowledge, which is central in the modern colonial project. The author explores what the possibilities are for Black feminist scholarship in pre-service early childhood education and care while unpacking the many racial and intersecting injustices in the field. The dominant research and pedagogy practices in early childhood education and care have limitations, with omissions of the nuances of the critical engagement of students, families and community more broadly through lived experience. When assumptions of detached and ‘objective’ knowledge are centred, then ideas that challenge norms and the status quo are omitted or peripheralized, when they are included. The article explores the possibilities of what the author calls ‘embedded transformative change’ – a change that is central to pedagogy and research in the field of early childhood education and care as opposed to being placed at the margins. Through embedded transformative change, members of pre-service early childhood education and care programs can think of themselves as active agents in change and liberation.
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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 | 0.015 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.021 | 0.078 |
| Scholarly communication | 0.012 | 0.009 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.004 | 0.007 |
| 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".