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Perceptions of Cohabitation Among College Students: Questions For the New Millenium

2002· article· en· W31704292 on OpenAlexfundno aff
Lynne Marie Maconochie, Diane M. MacPherson, Jessica Racca

Bibliographic record

VenueFSU Journal of Behavioral Sciences · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicFamily Dynamics and Relationships
Canadian institutionsnot available
FundersNational Institute of Biomedical Imaging and BioengineeringNational Institute of Mental HealthNational Institute on Drug AbuseCanada First Research Excellence FundHealth CanadaNational Institutes of HealthFondation Brain CanadaMcGill University
KeywordsCohabitationPsychologyPerceptionSocial psychologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

Cohabitation is becoming an increasingly common stage in courtship, especially for college students. Two hundred college students, with a mean age of 20.23 years, participated in an examination of the perceptions of cohabitation among students in this age group. Men and women were equally represented and randomly assigned to read one of four scenario conditions, varying by the living situation prior to marriage and by the quality of the marital relationship. Results indicated that college students perceived couples who had cohabitated prior to marriage as happier when compared to couples who had not cohabitated prior to marriage. Although results revealed that participants gender did not effect their perceptions of the scenario couple's level of commitnent or happiness, it was found that participants with more favorable attitudes toward marriage perceived the scenario couples as happier, regardless of the quallty of their relationship. Furthermore, the increase of non-traditional values as a causal factor of premarital cohabitation is 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)0.006
metaresearch head score (Gemma)0.019
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 score0.017
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0020.003
Open science0.0010.002
Research integrity0.0010.002
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 head0.075
GPT teacher head0.391
Teacher spread0.317 · 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

Citations0
Published2002
Admission routes1
Has abstractyes

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