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Record W1984724298 · doi:10.1080/02699930441000210

The English lexicon of interpersonal affect: Love, etc

2005· article· en· W1984724298 on OpenAlexaff
Christine Storm, Tom Storm

Bibliographic record

VenueCognition & Emotion · 2005
Typearticle
Languageen
FieldPsychology
TopicEmotions and Moral Behavior
Canadian institutionsMount Allison University
Fundersnot available
KeywordsPsychologyAffect (linguistics)Similarity (geometry)FeelingDisgustMeaning (existential)Social psychologyContemptLexiconCategorizationSympathyObject (grammar)LinguisticsAngerCommunication

Abstract

fetched live from OpenAlex

Three studies were conducted to determine some aspects of the semantic structure of words referring to positive interpersonal affect. Two studies determined dimensions of difference and families of related words on the basis of the target persons associated with each. These results were compared with those from sorting on the basis of overall similarity of meaning. There was close agreement among the three studies, using different samples of words, indices of similarity, and judges. The relation of the similarity structure of the words to the dimensions of affective experience and to discrete, basic, emotion is discussed.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.844
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.034
GPT teacher head0.324
Teacher spread0.290 · 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 designOther design
Domainnot available
GenreEmpirical

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

Citations11
Published2005
Admission routes1
Has abstractyes

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