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Record W4254422459 · doi:10.1111/pere.12325

Issue Information

2021· paratext· en· W4254422459 on OpenAlexaff
Ashley K. Randall, Susan D. Boon, Terri Orbuch, Tekisha Rice

Bibliographic record

VenuePersonal Relationships · 2021
Typeparatext
Languageen
FieldSocial Sciences
TopicRegional Socio-Economic Development Trends
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCitationInformation retrievalComputer sciencePsychologyWorld Wide WebInternet privacyLibrary science

Abstract

fetched live from OpenAlex

Personal Relationships, an official journal of the International Association for Relationship Research (IARR), was first published in 1994 and is an international, interdisciplinary journal that promotes scholarship in the field of personal relationships using a wide variety of methodologies and throughout a broad range of disciplines, including psychology, sociology, communication studies, anthropology, family studies, child development, social work, and gerontology. The subject matter and approach of Personal Relationships will be of interest to researchers, teachers, and practitioners. Manuscripts examining a wide range of personal relationships, including those between romantic or intimate partners, spouses, parents and children, siblings, classmates, coworkers, neighbors, and friends are welcome. Typically published work focuses on attributes of individual partners in personal 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 (e.g., size, density, hierarchy, solidarity, homogeneity), personal relationships in social contexts (e.g., families, work-places, historical periods, cultures), and the consequences of personal relationships. In addition to original quantitative research, qualitative research, theoretical or methodological contributions, integrative reviews, meta-analyses, comparative or historical studies, and critical assessments of the status of the field are welcome as submissions.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, 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 score0.059
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0400.099

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 head0.061
GPT teacher head0.317
Teacher spread0.255 · 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
Published2021
Admission routes1
Has abstractyes

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