Evidence map›Paper›PMID 37707647›Full record

ArticleJournal of psycholinguistic research2023

Pop Music Singing in Education with Modern Innovative Technologies: How the Chinese Language Shapes the Creation of Popular Singing.

Luoxiao Zhang, Jiawei Hu

RetractedAbstract readRetracted Publication
PubMed Publisher
In one paragraph

Article in Journal of psycholinguistic research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
14.0field-weighted citation impact, top 1% of its field
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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Luoxiao ZhangCollege of Music, Changchun University, Changchun, Jilin, China. luoxiaozhang@gmx.com.
Jiawei HuCollege of Music, Changchun University, Changchun, Jilin, China.
Changchun University · CN

Funding

Humanities and Social Sciences Research Project of The Education Department of Jilin Province JJKH20210925SK
6 · The paper itself

Abstract

The purpose of this study is to investigate the uniqueness of the pop singing genre by determining the role of the Chinese language in the creation of popular singing in education with modern innovative technologies. The paper began by determining which types of popular music were the most popular among respondents and the influence of modern innovative technologies on music education. The results showed that popular folk music (25%) and popular music (23%) are the most popular genres. This is because they are based on improvisational elements and combine modern and ethnic musical elements with the use of modern innovative technologies. Pentatonic preservation (94.3), modern innovative technologies (91.2), expressive performance (85.6), sound fluidity and mobility (82) and instrumental accompaniment have been identified as the most defining characteristics of contemporary Chinese popular music (78.1). Taking into account how pure and expressive Chinese music is, the study found that singing should take into account the following aspects of the Chinese language: the tonality of vowels, the influence of consonant sounds, the use of sound imitations, the performance of words with different levels of complexity, and the relationship between speech and musical intonation. It has been proven that students in group 1 who studied vocals and were taught the rules for combining phonetic features of language when singing had better results in terms of quality performance (0.83) and expressive performance (0.91). The non-professional singers in group 2 attained scores of 0.62 and 0.85, respectively.

Indexed as

MusicSingingChinaHumansSpeechStudentsArticulationFree improvisationIntonation featuresManner of performanceMusic educationPhonetic features

Identifiers

PMID37707647
OpenAlexW4386726745

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.