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Record W4285393913 · doi:10.1055/s-0042-1742336

School-Based Education: An Opportunity to Promote Equitable Access to Sexual and Reproductive Health Knowledge

2022· review· en· W4285393913 on OpenAlexaff
Ruth Walker, Jessica Fields, Jen Gilbert, Deana Leahy

Bibliographic record

VenueSeminars in Reproductive Medicine · 2022
Typereview
Languageen
FieldHealth Professions
TopicAdolescent Sexual and Reproductive Health
Canadian institutionsYork UniversityUniversity of Toronto
Fundersnot available
KeywordsReproductive healthSexual and reproductive health and rightsGovernment (linguistics)Health educationHealth policyPolitical scienceCorporate governancePublic relationsEconomic growthReproductive rightsEnvironmental healthPublic healthMedicineNursingBusinessPopulation

Abstract

fetched live from OpenAlex

All young people are entitled to knowledge and support that protects their sexual and reproductive health. School-based education is the most opportune setting for young people to have equitable access to sexual and reproductive health education. However, there is room for significant improvements in the provision of sexual and reproductive health education globally, and a range of barriers to be addressed. The Global Standards for Health Promoting Schools is a framework for governments, policy-makers, and schools to ensure that all students receive sexual and reproductive health education and support that promotes their sexual and reproductive health and overall health and well-being. The Global Standards for Health Promoting Schools acknowledges that school environments, partnerships, governance, policies, and resources are ultimately influenced by government resources and policy, and that advocacy and meaningful action across each standard is required.

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)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0090.001

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 head0.381
GPT teacher head0.575
Teacher spread0.194 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations3
Published2022
Admission routes1
Has abstractyes

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