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Record W1977832737 · doi:10.1177/0165025408095552

Dating, sex, and substance use predict increases in adolescents' subjective age across two years

2009· article· en· W1977832737 on OpenAlex
Nancy L. Galambos, Arne K. Albrecht, S. Mikael Jansson

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Behavioral Development · 2009
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent Sexual and Reproductive Health
Canadian institutionsUniversity of VictoriaUniversity of Alberta
Fundersnot available
KeywordsPsychologyYoung adultDevelopmental psychologySubstance useAge groupsDemographyClinical psychology

Abstract

fetched live from OpenAlex

This study examined the nature of the relationship between adolescents' subjective age (how old they feel) and chronological age, and explored whether dating, sex, and substance use predicted increases in adolescents' subjective age across a two-year period. The participants were 570 adolescents who were interviewed when they were first ages 12—19 and again two years later (ages 14—21). Results were that a quadratic function characterized the relationship between chronological and subjective age: subjective age increased from age 14 to 18.25 years, and then declined. Adolescents who dated, reported having sex, used alcohol, and used drugs at time 1 experienced an increased subjective age, that is, they felt older than less experienced adolescents by time 2. An older subjective age at time 1 did not predict increases in dating, sex, and substance use behaviors, with one exception: smoking. The results are consistent with theories assuming that self-perceptions of maturity may arise from engaging in “adult-like” behaviors.

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.

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)0.000
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 score0.034
Threshold uncertainty score0.542

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.110
GPT teacher head0.464
Teacher spread0.354 · 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