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Record W6991287365

Gender, sexuality, and the influence of heteronormativity in elementary school classrooms: an investigation of the subjective experiences of pre-service and recent graduates from the McGill Bachelor of Ed.(kindergarten/elementary)

2019· dissertation· en· W6991287365 on OpenAlexaboutno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2019
Typedissertation
Languageen
FieldSocial Sciences
TopicGender Studies in Language
Canadian institutionsnot available
Fundersnot available
KeywordsHeteronormativityBachelorHuman sexualityFocus groupQualitative researchIdentity (music)Sexual identityNarrativeSexual orientation
DOInot available

Abstract

fetched live from OpenAlex

This study examines the attitudes and perceptions of pre-service teachers and recent graduates with regards to gender and sexualities in elementary school classrooms, as well as their preparation to address these topics as elementary school teachers.The study also examines the ways that the Quebec Education Program supports hegemonic norms of heteronormativity.The eight participants were either currently enrolled in the McGill Bachelors of Kindergarten/Elementary Education or had graduated in 2017.Five pre-service teachers, and three recent graduates participated in focus groups that explored their experiences, attitudes, knowledge and beliefs about gender and sexuality within the elementary school classroom.They were questioned about the importance they associated with creating safe spaces for children to explore their gender identity and sexuality, the place that they saw these topics taking up in their B.Ed. program at McGill, as well as their familiarity with the Quebec Education Program with reference to these topics.The participants were asked to pinpoint experiences in the B. Ed program that disrupted or supported the construction of heteronormative narratives in teacher practices; identify teacher practices they had observed that supported heteronormativity; identify barriers to engaging in a disruption of heteronormativity; and identify ways that pre-service teachers could be better prepared to address these topics in and elementary school classroom.A variety of theoretical lenses are used throughout this research project including queer theory, feminist theory and post-structuralism.The themes found in the data include: the ease of relying on the gender binary; the need to create safe(r) spaces; isolated experiences of learning about the topics of gender and sexuality; the McGill program lacking info; and the need for the training to be mandatory.The implications of the results include suggestions for teacher practices that will allow for the creation of safe(r) spaces that allow for the disruption of heteronormativity, as well Sex: The characteristic assigned at birth based on the genitalia of an infant, most commonly male or female.Sexuality: Intimate, sexual, or romantic attraction towards other people, sometime expressed through a relationship.Heteronormativity: The structures and norms that assume heterosexuality/prescribe heterosexuality; and categorize other ways of being as deviant/othered.These structures are also reliant on the gender binary. Gender binary:The assumption that there are only two gender identities, and the disregard of gender existing on a spectrum.Safe(r)*: I subscribe to the belief that we can attempt to create a safe space through our practices; however, we cannot guarantee a completely safe space seeing as we do not control the actions of others.For this reason, I refer to them as safe(r) spaces seeing as they become safer through my practices.*The definition for safe(r) space does not come from either source.I frame the term within my own understanding of safe space and how I present and use it throughout the thesis.I have done this because this term may be contested in other literature; or presented as simply safe space.The definition demonstrates the intricacies that come with safe space.I choose to make the distinction between safe space and safe(r) space within my work by defining this term in this glossary.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.125
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.025
GPT teacher head0.287
Teacher spread0.261 · 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 designQualitative
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

Citations0
Published2019
Admission routes1
Has abstractyes

Explore more

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