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Record W4406746303 · doi:10.1111/pere.12590

The Progression of College Student Romantic Relationship Development: Stability and Change Over 10 Years

2025· article· en· W4406746303 on OpenAlexaff
Brian G. Ogolsky, Kiersten Dobson, Matthew Rivas‐Koehl, Ghada Kawas, Jennifer L. Hardesty

Bibliographic record

VenuePersonal Relationships · 2025
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsMcMaster University
FundersNational Institute of Food and AgricultureU.S. Department of Agriculture
KeywordsRomancePsychologyStability (learning theory)Social psychologyDevelopmental psychologyPsychoanalysisComputer science

Abstract

fetched live from OpenAlex

ABSTRACT Romantic relationships play an important role in mental and physical health. The initiation and progression of these relationships may be particularly relevant to college students, as they experience a period of personal and social growth while presumably away from parental supervision for the first time. However, some of the more prominent models of relationship initiation and progression have not been updated to reflect recent social changes, including technological advances and more general societal trends. In the current research, we use a qualitative approach to examine how college students describe the initiation and progression of romantic relationships. Additionally, we present data from two studies collected a decade apart to examine changes in perceived relationship progression over time. Results revealed four stages of relationship progression (i.e., flirtationship , relationship potential , in a relationship , and commitment or bust ) that were consistent across decades, with some minor differences. The contributions of these findings to current theoretical and empirical knowledge on relationship development are discussed, and promising directions for future inquiry are identified.

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 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 score0.135
Threshold uncertainty score0.649

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.079
GPT teacher head0.411
Teacher spread0.333 · 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 teacher head, 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

Citations3
Published2025
Admission routes1
Has abstractyes

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