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Record W6886236175 · doi:10.15139/s3/dacp9y

Dyadic Gratitude and Partner Regulation Weekly Diary, 2021

2022· dataset· en· W6886236175 on OpenAlexaffabout

Bibliographic record

VenueUNC Dataverse · 2022
Typedataset
Languageen
Field
Topic
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsGratitudePhoneSample (material)Self-disclosureInterpersonal relationshipComputer-assisted web interviewing

Abstract

fetched live from OpenAlex

This dataset was collected between March 2020 and August 2021. We recruited 150 romantic couples (300 people) from the community for a longitudinal, three-part study. Participants were recruited through online advertisements (e.g., on Kijiji, Reddit). To be eligible for the study, participants were required to be at least 18 years old, living together in Canada or the U.S., and to have been in a relationship for at least one year. Participants’ age ranged from 18-57 (M=28 years, SD=6 years) and they had been in the relationship for between 1 and 23 years (M=5 years, SD=5 years). Approximately two thirds of the couples resided in Canada and one third resided in the United States. The sample is roughly half women and half men, included a diverse range of racial/ethnic identities (roughly one third White, one third Asian and one third additional identities including bi-/multi-ethnic, African, and Middle Eastern), and is 78% heterosexual. Prior to beginning the study, participants completed a screening questionnaire to assess eligibility and research assistants spoke to each participant on the phone to verify that they were a couple. The three parts of the study included (1) completing a background questionnaire; (2) participating in an eight-week weekly experience (“diary”) study that involved completing a survey once a week for eight weeks; and (3) completing a follow-up questionnaire six months after the last weekly diary and roughly nine months after the background survey. Participants completed 7/8 weekly surveys on average, and follow-up retention was 82%. At background, we assessed demographics, individual differences (e.g., Big Five, attachment styles, satisfaction with life), relationship and sexual experiences (e.g., relationship satisfaction, sexual satisfaction), and identified partner-requested changes that we tracked over the study (weekly and at follow-up). Each week, we assessed individual (e.g., emotions, motivation) and relational (e.g., conflict, satisfaction, communication) experiences. At follow-up, we assessed individual and relationship well-being (e.g., relationship and sexual satisfaction). This study was approved by the University of Toronto ethics board (protocol #37757).

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)0.000
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: Dataset · Consensus signal: Dataset
Teacher disagreement score0.358
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.3900.032

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 head0.018
GPT teacher head0.264
Teacher spread0.246 · 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
GenreDataset

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
Published2022
Admission routes2
Has abstractyes

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