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Record W7113030954

How Prepared are Teachers to Provide Sexual Health Education?

2024· other· W7113030954 on OpenAlexaboutno aff

Bibliographic record

VenueOSF Preprints (OSF Preprints) · 2024
Typeother
Language
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsPreparednessCurriculumQuality (philosophy)Reproductive healthSex educationSchool teachersHealth education
DOInot available

Abstract

fetched live from OpenAlex

Quality school-based sexual health education (SHE) requires that the curriculum is taught by knowledgeable, skilled, and comfortable educators. However, we know little about teachers’ preparedness to provide comprehensive SHE. We surveyed 412 current Canadian elementary (grade K to 5), middle (grades 6-8), and high school (grades 9-12) teachers to examine their attitudes toward, training for, and experience with providing SHE. Teachers reported very positive attitudes toward school-based SHE and most were in favor of introducing age-appropriate sexual health education in elementary school. Teachers reported little to no formal training to do so at either the pre-service and in-service level but had engaged in self-directed learning. A multiple regression analysis found that teachers with more experience providing SHE, more positive attitudes toward SHE, and more in-service training reported engaging in more self-directed learning. Teachers with more experience providing SHE, more positive attitudes toward SHE, more pre-service training, and more self-directed learning reported greater comfort providing SHE. Although these results support the many calls for better teacher training, they also suggest that efforts to improve the quality of SHE instruction might be better focused on enhancing access to quality materials for self-directed learning.

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)0.021
metaresearch head score (Gemma)0.019
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Open science, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.207
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0210.019
Meta-epidemiology (narrow)0.0050.006
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0040.004
Science and technology studies0.0010.001
Scholarly communication0.0050.001
Open science0.0090.012
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.7900.996

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 head0.022
GPT teacher head0.307
Teacher spread0.284 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2024
Admission routes1
Has abstractyes

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