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Record W2152608909

Because It's a Girl Cake!: Fostering Dialogue About Gender Identity in Elementary Classrooms

2012· article· en· W2152608909 on OpenAlexfundvenueno aff
Amy E. Ryken, Niko Wacker

Bibliographic record

VenueSound Ideas (University of Puget Sound) · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicGender Roles and Identity Studies
Canadian institutionsnot available
FundersUniversity of Toronto
KeywordsCuriosityConversationGirlIdentity (music)PedagogyPsychologyGender biasMathematics educationExpression (computer science)Developmental psychologySocial psychologyCommunication
DOInot available

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.455
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.069
GPT teacher head0.309
Teacher spread0.240 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2012
Admission routes2
Has abstractyes

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