Bibliographic record
Abstract
In this article, I explore how the beliefs of preschool teachers that equality is the norm in their classrooms shape play periods in ways that may work to disadvantage girls. I argue that equality discourses mask the gender power children must negotiate in their play and that this leaves girls with fewer choices when they are accessing the play environment. With research grounded in fieldwork carried out in four public schools in a Canadian metropolis, I illustrate how liberal notions of equality reinforced the traditional gender binary in children’s play. Moreover, drawing on the work of Jane Roland Martin, I show that liberal understandings of equality work to sustain a male-centered education for all students in preschool. To explore ways to attend to such gender inequalities, I turn to Nel Noddings’s concept of an ethics of care and point to the need to challenge the gender binary in early learning.
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.020 | 0.033 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.015 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".