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Record W2946117456 · doi:10.1093/pch/pxz033

Universal access to no-cost contraception for youth in Canada

2019· review· en· W2946117456 on OpenAlexafffundabout
Giuseppina Di Meglio, Elisabeth Yorke

Bibliographic record

VenuePaediatrics & Child Health · 2019
Typereview
Languageen
FieldMedicine
TopicReproductive Health and Contraception
Canadian institutionsCanadian Paediatric Society
FundersLangley Research CenterCanadian Medical AssociationCollege of Family Physicians of Canada
KeywordsUnintended pregnancyConfidentialityFamily planningMedicinePopulationReproductive healthDeveloped countryFamily medicinePregnancyBusinessPolitical scienceEnvironmental healthResearch methodologyLaw

Abstract

fetched live from OpenAlex

Timely access to effective contraception reduces the incidence of unintended pregnancy. Cost is a significant barrier to using contraception for youth in Canada. Many must pay out-of-pocket because they have no pharmaceutical insurance, their insurance does not cover the contraceptives they desire, or they wish to obtain contraceptives without their parents' knowledge. To address these barriers and reduce rates of unintended pregnancy, this statement recommends that all youth should have confidential access to contraception, at no cost, until the age of 25. The statement also recommends measures to help achieve this goal across Canada.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.332
Threshold uncertainty score0.667

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.006
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.068
GPT teacher head0.366
Teacher spread0.298 · 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

Citations19
Published2019
Admission routes3
Has abstractyes

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