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Record W7052649672

Supporting the Development of Sexuality in Early Childhood: What do Early Childhood Educators Need to Know?

2023· dissertation· en· W7052649672 on OpenAlexaboutno aff

Bibliographic record

VenueThe Atrium (University of Guelph) · 2023
Typedissertation
Languageen
FieldEngineering
TopicPlasma Diagnostics and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsHuman sexualityEarly childhoodSexuality educationScope (computer science)Child developmentDevelopmental stage
DOInot available

Abstract

fetched live from OpenAlex

Sexuality development is a fundamental domain of development that unfolds from birth (WHO, 2006; WHO et al., 2017). As practitioners supporting well-being throughout early childhood (i.e., birth up to age 12), Early Childhood Educators are uniquely positioned to support children’s sexuality development. The purpose of Study 1 was to review pre-service ECE programs in Ontario to determine the preparation ECEs receive to support sexuality development. A content analysis indicated that although sexual development is not explicitly included in many ECE training programs, there are overlapping competencies within educator- training where the development of sexuality could be addressed. The purpose of Study 2 was to define the scope of developmentally appropriate practice for ECEs supporting the development of sexuality in early childhood. Key informant interviews outlined various competencies (e.g., understanding sexuality and gender development), considerations (e.g., culturally sensitive care), and skills (e.g., communication) ECEs need during pre-service training.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.054
Threshold uncertainty score0.107

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0050.007
Open science0.0010.002
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.008
GPT teacher head0.228
Teacher spread0.219 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2023
Admission routes1
Has abstractyes

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