'This may not be represented in the curriculum documents', an analysis of early childhood education curriculum from Ontario college programs.
Bibliographic record
Abstract
This study examines the way in which Early Childhood Educators trained in Ontario college programs are prepared to work with queer populations upon entering the field. This study used post-structuralist, queer feminist, and critical disability theoretical frameworks while analysing the data. A content analysis, informed by critical discourse analysis, was used to assess program documents. Course descriptions from ECE program websites were collected, as well as a total of 33 course outlines from 11 different Ontario college ECE programs, and 9 textbooks identified through the course outlines. Queer content was found to be absent from all but 5 course outlines and 4 textbooks. The need to have queer issues included formally in Ontario ECE curriculum, the othering of queer populations, and the erasure of queer identities are discussed. Key
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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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.010 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".