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The Comparison of Eastern and Western Societies’ Attitudes Towards Offering Sex Education in Schools

2023· article· en· W4387939622 on OpenAlexaff
Shan Zhou

Bibliographic record

VenueLecture Notes in Education Psychology and Public Media · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicPoverty, Education, and Child Welfare
Canadian institutionsMcGill University
Fundersnot available
KeywordsSex educationOrder (exchange)Mathematics educationSingle sexPolitical scienceSociologyPublic relationsPsychologyPedagogyEconomic growthGender studiesBusinessHuman sexualityEconomics

Abstract

fetched live from OpenAlex

Sex education is considered as a rather sensitive topic in school worldwide, and differs in various aspects. It involves policies of governments, devoted resources, social norms, education of teachers, depth of content and feedback from students. Eastern countries and regions are more conservative. Though policies have been revised on supporting sex education in school and effort on balancing resources have been made, there are still difficulties to overcome. For instance, violating social norms, educating teachers to know the strategies on giving sex education and being provided with feedback from students in order to improve tactics used. Western countries are generally more open to sex education in school, resources have been devoted into it and policies have been made decades ago. Though it is controversial on which kind of sex education is most suitable for students, governments would listen to feedback from students and teachers on their advices. This paper provides with detailed conclusion on the above-mentioned points comparing between Eastern and Western aspects on teaching sex education in school.

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)0.001
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 score0.264
Threshold uncertainty score0.716

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.034
GPT teacher head0.391
Teacher spread0.357 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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