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Record W4416094526 · doi:10.1177/01640275251394991

Intertwined Friendships: How Older Women Navigated Couple Friendships and Individual Friendships Alongside Romantic Partners

2025· article· en· W4416094526 on OpenAlexaff
Ashley E. Ermer, Jaclyn Elisa Keenoy

Bibliographic record

VenueResearch on Aging · 2025
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsMount Saint Vincent University
Fundersnot available
KeywordsRomanceGrounded theoryFriendshipQualitative researchInterpersonal relationshipLived experience

Abstract

fetched live from OpenAlex

This study examined how older women’s friendships were intertwined with their opposite-sex romantic partners, and their friendships, via interviews using a constructivist, grounded theory approach. Participants ( N = 19) were women from the Northeastern United States, had at least some college, and all were non-Hispanic White. Theoretical coding led to two main themes: Friendship Level: Couple Versus Individual and Conflicts and Differences: Gendered Dynamics. Within Friendship Level , couple activities such as vacations and dinners were mentioned as key activities, along with the women’s role in crafting couples’ friendships. Reasons why friendships remained separate were also discussed. For Conflicts and Differences, women talked about how they had more friends than their romantic partners and that their romantic partners’ friendships were largely work-based. Women also discussed instances in which a romantic partner misbehaved. These findings have implications for how romantic partners navigate friendships together.

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)0.003
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0020.003
Open science0.0000.003
Research integrity0.0010.001
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 head0.124
GPT teacher head0.506
Teacher spread0.382 · 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 designQualitative
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

Citations1
Published2025
Admission routes1
Has abstractyes

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