Evidence map›Paper›PMID 37426063›Full record

ArticleJournal of cognition2023

Cross-Modal Musical Expectancy in Complex Sound Music: A Grounded Theory.

Juan Pablo Correa

Abstract read
In one paragraph

Article in Journal of cognition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

1 author.

Juan Pablo CorreaUniversidad Autónoma de Aguascalientes, Aguascalientes, MX.ORCID https://orcid.org/0000-0002-0353-8020

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Expectancy is a core mechanism for constructing affective and cognitive experiences of music. However, research on musical expectations has been largely founded upon the perception of tonal music. Therefore, it is still to be determined how this mechanism explains the cognition of sound-based acoustic and electroacoustic music, such as complex sound music (CSM). Additionally, the dominant methodologies have consisted of well-controlled experimental designs with low ecological validity that have overlooked the listening experience as described by the listeners. This paper presents results concerning musical expectancy from a qualitative research project that investigated the listening experiences of 15 participants accustomed to CSM listening. Corbin and Strauss' (2015) grounded theory was used to triangulate data from interviews along with musical analyses of the pieces chosen by the participants to describe their listening experiences. Cross-modal musical expectancy (CMME) emerged from the data as a subcategory that explained prediction through the interaction of multimodal elements beyond just the acoustic properties of music. The results led to hypothesise that multimodal information coming from sounds, performance gestures, and indexical, iconic, and conceptual associations re-enact cross-modal schemata and episodic memories where real and imagined sounds, objects, actions, and narratives interrelate to give rise to CMME processes. This construct emphasises the effect of CSM's subversive acoustic features and performance practices on the listening experience. Further, it reveals the multiplicity of factors involved in musical expectancy, such as cultural values, subjective musical and non-musical experiences, music structure, listening situation, and psychological mechanisms. Following these ideas, CMME is conceived as a grounded cognition process.

Indexed as

Complex sound musicCross-modalityGrounded cognitionIconicityIndexicalityMusical expectancy

Identifiers

PMID37426063
PMCPMC10327858

What OpenQuestion holds

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Registered trials

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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.