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Record W2755935481

Representing and Supporting Children from Homosexual Families in the Elementary Classroom

2014· article· en· W2755935481 on OpenAlexaboutno aff
Antonella Von Rosen

Bibliographic record

VenueTSpace (University of Toronto) · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicGender Roles and Identity Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyPrimary educationDevelopmental psychologyMathematics educationPedagogy
DOInot available

Abstract

fetched live from OpenAlex

This research focuses on the education and well-being of children from homosexual families in the classroom. This study explores how teachers are currently representing children from homosexual families, their understandings of these children’s experiences and the resources available to them to support their students. The study investigates the experiences of three educators in the Greater Toronto Area, one of whom shares her own experiences in schools. The findings indicate that there is currently a gap between what teachers are undertaking in their classrooms and what children from homosexual families would appreciate. The findings also highlight certain barriers that prevent teachers from introducing these topics such as their understandings of the topic, the lack of pre-service professional education and fears of stakeholder backlash. The four reported themes mirror the literature in the field: 1) the importance of teacher knowledge, 2) the need for early years education, 3) the need to create safe environments, and 4) the long-term impacts on children. This research paper encourages future teachers to seek out information and support these marginalized communities in their classrooms. It also provides suggestions and strategies on how to ensure a safe and inclusive environment for all.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.176
Threshold uncertainty score0.391

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 studies0.0010.000
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 head0.015
GPT teacher head0.265
Teacher spread0.250 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2014
Admission routes1
Has abstractyes

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