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Record W1607418420 · doi:10.4073/csr.2006.12

Interventions Intended to Reduce Pregnancy‐Related Outcomes Among Adolescents

2006· article· en· W1607418420 on OpenAlexaboutno aff
Lauren S. Scher, Rebecca Maynard, Matthew Stagner

Bibliographic record

VenueCampbell Systematic Reviews · 2006
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent Sexual and Reproductive Health
Canadian institutionsnot available
FundersAmerican Institutes for ResearchSid W. Richardson FoundationSmith Richardson FoundationWilliam and Flora Hewlett FoundationU.S. Department of Health and Human Services
KeywordsAbstinencePsychological interventionPregnancyIntervention (counseling)Teenage pregnancySexual abstinencePsychologyTeen pregnancyMedicinePoolingProgram evaluationFamily medicineClinical psychologyPopulationPsychiatryFamily planningEnvironmental healthResearch methodologyPolitical science

Abstract

fetched live from OpenAlex

This Campbell systematic review examines the effectiveness of teenage pregnancy prevention programs in promoting abstinence, encouraging the use of contraception and reducing the likelihood of pregnancy among teens. A thorough literature search was conducted up to April 2006. The review summarises findings from 31 studies which included 37,000 youth conducted in the US or in developed countries with higher than average rates of unplanned teen pregnancy, such as Canada, England, New Zealand, and Australia. This review finds no consistent evidence that the types of pregnancy prevention programs evaluated rigorously to date will alter in intended ways the sexual activity or pregnancy risks of youth. However, this overall pooling of studies mixes results of different program types serving different populations of adolescents. This review highlights the relative dearth of evidence to judge the overall effectiveness of particular intervention strategies. For this reason, further research and evaluation is necessary, including studying programs that have not yet been evaluated rigorously and programs that have been replicated and are serving new populations of adolescents in different communities.

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)0.009
metaresearch head score (Gemma)0.049
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.015
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.049
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.004
Bibliometrics0.0100.006
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.185
GPT teacher head0.469
Teacher spread0.283 · 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 designSystematic review
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

Citations47
Published2006
Admission routes1
Has abstractyes

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