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Record W2774396137 · doi:10.1080/00224499.2017.1399195

Passion, Intimacy, and Commitment in Casual Sexual Relationships in a Canadian Sample of Emerging Adults

2017· article· en· W2774396137 on OpenAlexafffundabout
Carl Rodrigue, Martin Blais, Francine Lavoie, Barry D. Adam, Marie-France Goyer, Céline Magontier

Bibliographic record

VenueThe Journal of Sex Research · 2017
Typearticle
Languageen
FieldPsychology
TopicSexuality, Behavior, and Technology
Canadian institutionsUniversité LavalUniversity of WindsorUniversité du Québec à Montréal
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPassionCasualRomancePsychologySocial psychologyHuman sexualityMainstreamSexual partnerDevelopmental psychologyGender studiesSociologyPolitical sciencePsychoanalysis

Abstract

fetched live from OpenAlex

Research on casual sexual relationships (CSRs) among emerging adults is prevalent, yet our empirical and theoretical knowledge of relationship processes involved in these relationships is limited. The present study's objective was to compare four CSR partner types (acquaintance, friend, non-dating partner, ex-romantic partner) on passion, intimacy, and commitment, the components of Sternberg's triangular theory of love. A total of 441 Canadians aged 18-25 years who were not in a romantic relationship, and who reported having had more than one sexual contact with their last CSR partner, completed an online survey. Across all partner types, passion was highest, followed by intimacy and commitment. Levels of passion, intimacy, and commitment generally increased with partner familiarity. However, CSR partner type differences on the three components were partially explained by CSR components (i.e., frequency of sexual activity, frequency of social activity, whether partners saw each other with the main goal of having sex, sexual exclusivity agreement, and hopes about the relationship). Results are consistent with CSRs' emphasis on sexuality, and, to a lesser extent, emotions. However, they challenge the mainstream and scientific conflation of CSRs with an absence of emotional bond, commitment, or love.

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)0.008
metaresearch head score (Gemma)0.001
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 score0.063
Threshold uncertainty score0.578

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.206
GPT teacher head0.473
Teacher spread0.266 · 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

Citations16
Published2017
Admission routes3
Has abstractyes

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