The DOI matches its Crossref record.
Cross-cultural music cognition: cognitive methodology applied to North Sami yoiks
Open accessAbstract
This article is a study of melodic expectancy in North Sami yoiks, a style of music quite distinct from Western tonal music. Three different approaches were taken. The first approach was a statistical style analysis of tones in a representative corpus of 18 yoiks. The analysis determined the relative frequencies of tone onsets and two- and three-tone transitions. It also identified style characteristics, such as pentatonic orientation, the presence of two reference pitches, the frequency of large consonant intervals, and a relatively large set of possible melodic continuations. The second approach was a behavioral experiment in which listeners made judgments about melodic continuations. Three groups of listeners participated. One group was from the Sami culture, the second group consisted of Finnish music students who had learned some yoiks, and the third group consisted of Western musicians unfamiliar with yoiks. Expertise was associated with stronger veridical expectations (for the correct next tone) than schematic expectations (based on general style characteristics). Familiarity with the particular yoiks was found to compensate for lack of experience with the musical culture. The third approach simulated melodic expectancy with neural network models of the self-organizing map (SOM) type (Kohonen, T. (1997). Self-organizing maps (2nd ed.). Berlin: Springer). One model was trained on the excerpts of yoiks used in the behavioral experiment including the correct continuation tone, while another was trained with a set of Finnish folk songs and Lutheran hymns. The convergence of the three approaches showed that both listeners and the SOM model are influenced by the statistical distributions of tones and tone sequences. The listeners and SOM models also provided evidence supporting a core set of psychological principles underlying melody formation whose relative weights appear to differ across musical styles.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Emotional responses to music: The need to consider underlying mechanisms
Juslin, P. N., & Västfjäll, D. (2008) · Behavioral and Brain Sciences · doi:10.1017/s0140525x08005293 · Cited by 1,914
Stevens' Handbook of Experimental Psychology
(2002) · Wiley eBooks · doi:10.1002/0471214426 · Cited by 1,632
Universals in the world’s musics
Brown, S., & Jordania, J. (2013) · Psychology of Music · doi:10.1177/0305735611425896 · Cited by 305
Expectation in Melody: The Influence of Context and Learning
Pearce, M. T., & Wiggins, G. A. (2006) · Music Perception · doi:10.1525/mp.2006.23.5.377 · Cited by 297
Contextualising culture and social cognition
Vogeley, K., & Roepstorff, A. (2009) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2009.09.006 · Cited by 121
Metadata
- Authors
- Krumhansl, C.
- Venue
- Cognition
- Publisher
- Elsevier BV
- Published
- 2000-07-14
- Volume
- 76
- Issue
- 1
- Pages
- 13-58
- ISSN
- 0010-0277 (ISSN-L)
- OpenAlex
- W2159106541
- Cited by
- 208
- References
- 0
- FWCI
- 2.75
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Cross-cultural music cognition: cognitive methodology applied to North Sami yoiks. https://app.cochat.ai/papers/10.1016/s0010-0277(00)00068-8
- The paper
- Krumhansl, C. (2000). Cross-cultural music cognition: cognitive methodology applied to North Sami yoiks. Cognition. https://doi.org/10.1016/s0010-0277(00)00068-8
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.