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Record W2807965848 · doi:10.1002/cb.1724

It is for you, or it is for me: How relationship dependence affects gift image consistency in romantic relationships

2018· article· en· W2807965848 on OpenAlex
Rifei Cong, Biao Luo, Tieshan Li, Chengyuan Wang

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Consumer Behaviour · 2018
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsConcordia University
FundersNational Natural Science Foundation of China
KeywordsConsistency (knowledge bases)RomancePsychologySelf-imageContext (archaeology)Gift givingSocial psychologyImage (mathematics)Computer scienceEconomicsPsychoanalysisArtificial intelligence

Abstract

fetched live from OpenAlex

Abstract Recently, consumer behavior research has been focusing on decision‐making in relationships. This research considers an important context, romantic gift giving, in which givers choose gifts that are perceptually consistent with both their own self‐image and the recipients' self‐image. Based on interdependence theory, we investigate how the relationship dependence between romantic couples can affect gift image consistency. According to the results, the giver's level of dependence plays a positive role in the consistency between the recipient's self‐image and the gift image (gift‐recipient consistency) and plays a negative role in the consistency between the giver's self‐image and the gift image (gift‐giver consistency). The mutuality of dependence could strengthen or weaken the effect of the giver's level of dependence on gift image consistency, and this effect is carried through the giver's relationship power.

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.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.105
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.093
GPT teacher head0.421
Teacher spread0.328 · 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