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Mothers Who Do and Do Not Intend to Discuss Sexual Health With Their Young Adolescents

2012· article· en· W2021229046 on OpenAlexaff
E. Sandra Byers, Heather A. Sears

Bibliographic record

VenueFamily Relations · 2012
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent Sexual and Reproductive Health
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsPsychologyReproductive healthDevelopmental psychologyPerceptionSexual behaviorSexually activeClinical psychologyPopulationMedicine

Abstract

fetched live from OpenAlex

This study distinguished two groups of mothers who have not communicated with their young adolescents about sexual health based on their intentions of having these discussions. We also compared these 2 groups to mothers who have had such communications. Overall, 29% of mothers had engaged in sexual discussions with their adolescent in some detail (active group), 22% intended to do so in the next 6 months (intender group), and 49% did not intend to do so in the next 6 months (nonintender group). Higher scores on variables consistent with the integrative model of behavioral prediction (parent knowledge, comfort, attitudes, perceptions of social norms, and self‐efficacy for sexual communication) differentiated the 3 groups: The active group had the highest scores, the nonintender group had the lowest scores, and the scores of the intender group fell in between. Group membership varied by sexual topic. Suggestions for enhancing parent‐adolescent sexual communication are discussed.

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.093
GPT teacher head0.392
Teacher spread0.299 · 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 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

Citations52
Published2012
Admission routes1
Has abstractyes

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