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Record W2145261442 · doi:10.1111/1468-5884.t01-1-00036

Relating momentary affect to the five factor model of personality: A Japanese case<sup>1</sup>

2003· article· en· W2145261442 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJapanese Psychological Research · 2003
Typearticle
Languageen
FieldPsychology
TopicMental Health Research Topics
Canadian institutionsnot available
Fundersnot available
KeywordsAffect (linguistics)PsychologyDienerPersonalityBig Five personality traitsSocial psychologySpace (punctuation)Developmental psychologyLife satisfactionCommunication

Abstract

fetched live from OpenAlex

Abstract: This article shows that fundamental aspects of the structure of momentary affect are similar in Japanese and Canadian societies. We developed questionnaire scales in Japanese in four different formats for assessing self‐reported momentary affect. Scales can be scored for dimensions defined by Feldman Barrett and Russell (1998 ), Thayer (1996 ), Larsen and Diener (1992 ), and Watson and Tellegen (1985 ). We administered these newly developed affect scales and NEO five‐factor inventory ( Costa &amp; McCrae, 1992 ) to a sample of 450 Japanese respondents. The affect scales were found to be psychometrically sound and to be interrelated, as found with English‐speaking Canadians. Dimensions could be integrated into a two‐dimensional affective space. Personality correlated with momentary affect, though not in the same pattern as found in Canada.

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)0.010
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.108
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0070.002

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 head0.389
GPT teacher head0.535
Teacher spread0.146 · 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