Evidence map›Paper›PMID 36253596›Full record

ArticleBehavior research methods2023

Divergent semantic integration (DSI): Extracting creativity from narratives with distributional semantic modeling.

Dan R Johnson, James C Kaufman, Brendan S Baker, John D Patterson, Baptiste Barbot, Adam E Green, Janet van Hell, Evan Kennedy, Grace F Sullivan, Christa L Taylor and 2 more

Abstract read
In one paragraph

Article in Behavior research methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Lower engagement of cognitive control in children on ChatGPT.Cerebral cortex (New York, N.Y. : 1991) · 2026
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  10. Characterizing Features of Creative Writing in Older Adults.The journals of gerontology. Series B, Psychological sciences and social sciences · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Dan R JohnsonDepartment of Cognitive and Behavioral Science, Washington and Lee University, Parmly Hall, 204 W. Washington St, Lexington, VA, 24450, USA. johnsondr@wlu.edu.ORCID 0000-0001-8312-6191
James C KaufmanNeag School of Education, University of Connecticut, Mansfield, CT, USA.
Brendan S BakerDepartment of Psychology, Pennsylvania State University, State College, PA, USA.
John D PattersonDepartment of Psychology, Pennsylvania State University, State College, PA, USA.
Baptiste BarbotPsychological Sciences Research Institute, Université catholique de Louvain, Ottignies-Louvain-la-Neuve, Belgium.
Adam E GreenDepartment of Psychology, Georgetown University, Washington, DC, USA.
Janet van HellDepartment of Psychology, Pennsylvania State University, State College, PA, USA.
Evan KennedyDepartment of Psychology, Graceland University, Lamoni, IA, USA.
Grace F SullivanDepartment of Cognitive and Behavioral Science, Washington and Lee University, Parmly Hall, 204 W. Washington St, Lexington, VA, 24450, USA.
Christa L TaylorPsychological Sciences Research Institute, Université catholique de Louvain, Ottignies-Louvain-la-Neuve, Belgium.
Thomas WardDepartment of Psychology, University of Alabama, Tuscaloosa, AL, USA.
Roger E BeatyDepartment of Psychology, Pennsylvania State University, State College, PA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We developed a novel conceptualization of one component of creativity in narratives by integrating creativity theory and distributional semantics theory. We termed the new construct divergent semantic integration (DSI), defined as the extent to which a narrative connects divergent ideas. Across nine studies, 27 different narrative prompts, and over 3500 short narratives, we compared six models of DSI that varied in their computational architecture. The best-performing model employed Bidirectional Encoder Representations from Transformers (BERT), which generates context-dependent numerical representations of words (i.e., embeddings). BERT DSI scores demonstrated impressive predictive power, explaining up to 72% of the variance in human creativity ratings, even approaching human inter-rater reliability for some tasks. BERT DSI scores showed equivalently high predictive power for expert and nonexpert human ratings of creativity in narratives. Critically, DSI scores generalized across ethnicity and English language proficiency, including individuals identifying as Hispanic and L2 English speakers. The integration of creativity and distributional semantics theory has substantial potential to generate novel hypotheses about creativity and novel operationalizations of its underlying processes and components. To facilitate new discoveries across diverse disciplines, we provide a tutorial with code (osf.io/ath2s) on how to compute DSI and a web app ( osf.io/ath2s ) to freely retrieve DSI scores.

Indexed as

LanguageSemanticsConcept FormationCreativityHumansReproducibility of ResultsCreativity assessmentCreativity in writingDistributional semantic modelingNarrativesNatural language processing

Identifiers

PMID36253596
PMCPMC10615993

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.