Because It’s a Girl Cake!: Because It’s a Girl Cake!: Fostering Dialogue About Gender Identity in Elementary Classrooms
Bibliographic record
Abstract
In this documentary account, a kindergarten teacher and teacher educator describe our efforts to explore how young children think and reason about gender expression in and beyond the classroom. We describe our ongoing collaboration to develop a framework for teacher-initiated and student-initiated conversations about gender, which often result from students’ spontaneous remarks and questions about gender norms. We explore the question, How can educators create relevant and engaging learning opportunities to invite young learners to discuss gender norms within the classroom? In this paper we share kindergartners’ conversations about gender and three examples of their writing about this topic. We conclude that an inquiry approach to teaching, that aims to be respectful of and responsive to students developing ideas about gender identity, is both possible and necessary. efforts to explore how young children think and reason about gender expression in and beyond the classroom. We describe our ongoing collaboration to develop a framework for teacher-initiated and student-initiated conversations about gender, which often result from students’ spontaneous remarks and questions about gender norms. We explore the question, How can educators create relevant and engaging learning opportunities to invite young learners to discuss gender norms within the classroom? In this paper we share kindergartners’ conversations about gender and three examples of their writing about this topic. We conclude that an inquiry approach to teaching, that aims to be respectful of and responsive to students developing ideas about gender identity, is both possible and In this documentary account, a kindergarten teacher and teacher educator describe our efforts to explore how young children think and reason about gender expression in and beyond the classroom. We describe our ongoing collaboration to develop a framework for teacher-initiated and student-initiated conversations about gender, which often result from students’ spontaneous remarks and questions about gender norms. We explore the question, How can educators create relevant and engaging learning opportunities to invite young learners to discuss gender norms within the classroom? In this paper we share kindergartners’ conversations about gender and three examples of their writing about this topic. We conclude that an inquiry approach to teaching, that aims to be respectful of and responsive to students developing ideas about gender identity, is both possible and necessary.
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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 | 0.007 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.013 | 0.014 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".