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Record W4394887119 · doi:10.1080/09589236.2024.2342989

‘They broke it again’: examining violence against girls in kindergarten

2024· article· en· W4394887119 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Gender Studies · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicChildren's Rights and Participation
Canadian institutionsBishop's University
Fundersnot available
KeywordsPsychologyPolitical scienceDevelopmental psychologySociologyCriminology

Abstract

fetched live from OpenAlex

Violence against girls in schools is an ongoing problem, even in early childhood education settings like kindergarten. Dominant views of children and play as neutral and innocent have operated to silence the early normalization of violence against girls. In this paper, I examine some of the ways that violence against girls occurs in kindergarten play spaces. I draw on feminist standpoint as a theoretical framework to interrogate play-based learning from the vantage point of girls and illuminate its hidden gendered effects. Analysis of ethnographic data collected in two Canadian kindergarten classrooms revealed that a common form of violence boys enacted against girls involved the destruction of girls’ building work in play. While girls resisted boys’ domination, the daily destruction of their work in play limited girls’ abilities to equally access kindergarten education. The findings presented in this paper call for a re-thinking of play-based learning in kindergarten and specifically for a theoretical shift in early education curricula, policies, and teacher education and development programmes.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.446
Threshold uncertainty score0.293

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.169
GPT teacher head0.402
Teacher spread0.234 · 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