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Record W4411735736 · doi:10.1111/pere.12555

Issue Information

2025· paratext· en· W4411735736 on OpenAlexaff

Bibliographic record

VenuePersonal Relationships · 2025
Typeparatext
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

Personal Relationships, first published in 1994, is a flagship journal of the International Association for Relationship Research.PR is a premier international, interdisciplinary journal promoting rigorous empirical scholarship that tests and advances theory on how people interact to create, maintain, and dissolve short-and long-term bonds.Innovative articles from distinguished scholars use a wide variety of methodologies and reflect multiple disciplines, including but not limited to psychology, communication studies, family studies, human development, gerontology, sociology, social work, anthropology, and health.The intellectually rich, highquality content of Personal Relationships will interest researchers, practitioners, and educators.Manuscripts examining diverse personal relationships, including those between romantic or intimate partners, parents and children, siblings, and other close-relationship partners are welcome.Published work typically focuses on attributes of individual partners within relationships (e.g., personality factors or social positions as influences on relationship outcomes) at all stages of the life course, interactive relationship processes (i.e., behavioral, affective, or cognitive), the internal structure of dyads and networks, and relationships in social contexts (e.g., families, workplaces, institutions, historical periods, cultures).Besides original quantitative or qualitative research, PR welcomes other contributions such as theoretical or methodological treatises, systematic integrative reviews, metaanalyses, and critical assessments of the field.Studies with community samples (especially of understudied populations from different regions of the world), longitudinal designs, dyadic analyses, and measures that go beyond self-report (e.g., behavioral observation, physiological measures) are especially encouraged.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.269
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0570.326

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 head0.037
GPT teacher head0.386
Teacher spread0.349 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2025
Admission routes1
Has abstractyes

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