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Record W4368347313 · doi:10.1177/21676968231174083

Romantic Relationships from Adolescence to Established Adulthood

2023· article· en· W4368347313 on OpenAlexafffund
Stéphanie Boisvert, François Poulin, Jacinthe Dion

Bibliographic record

VenueEmerging Adulthood · 2023
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsUniversité du Québec à MontréalCégep de JonquièreUniversité du Québec à Chicoutimi
FundersSocial Sciences and Humanities Research Council of CanadaFonds de Recherche du Québec-Société et Culture
KeywordsRomancePsychologyDevelopmental psychologyJealousyYoung adultEarly adulthoodLongitudinal studySocial psychologyMedicinePsychoanalysis

Abstract

fetched live from OpenAlex

This 15-year longitudinal study investigated with follow-up data how romantic patterns from ages 16 to 24 are associated with romantic involvement and turnover (ages 25-30), romantic dispositions (age 30) and romantic relationships characteristics (age 30). A sample of 255 individuals (60.8% women) identified all their romantic partners between the ages of 16 and 24. Between ages 25 and 30, participants identified all their romantic partners and the length of each relationship. At age 30, they also completed a series of questionnaires regarding romantic dispositions and if it applied, characteristics of their current romantic relationship. Results indicated continuity in the romantic sphere from adolescence to established adulthood. At age 30, romantic patterns were associated with: avoidance of intimacy, jealousy, global romantic satisfaction, relationship status and the duration of the current romantic relationship. Together, these results bring new information on romantic development from adolescence to established adulthood.

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)0.004
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 score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.032
GPT teacher head0.361
Teacher spread0.329 · 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

Citations18
Published2023
Admission routes2
Has abstractyes

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