Evidence map›Paper›PMID 37588523›Full record

ArticleEvolutionary human sciences2021

Prestige and content biases together shape the cultural transmission of narratives.

Richard E W Berl, Alarna N Samarasinghe, Seán G Roberts, Fiona M Jordan, Michael C Gavin

Abstract read
In one paragraph

Article in Evolutionary human sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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  7. Large language models show human-like content biases in transmission chain experiments.Proceedings of the National Academy of Sciences of the United States of America · 2023
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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

5 authors.

Richard E W BerlDepartment of Human Dimensions of Natural Resources, Colorado State University, Fort Collins, CO 80523-1480, USA.ORCID https://orcid.org/0000-0002-4154-1319
Alarna N SamarasingheDepartment of Anthropology and Archaeology, University of Bristol, Bristol, United Kingdom.
Seán G RobertsDepartment of Anthropology and Archaeology, University of Bristol, Bristol, United Kingdom.
Fiona M JordanDepartment of Anthropology and Archaeology, University of Bristol, Bristol, United Kingdom.ORCID https://orcid.org/0000-0002-9953-8884
Michael C GavinDepartment of Human Dimensions of Natural Resources, Colorado State University, Fort Collins, CO 80523-1480, USA.ORCID https://orcid.org/0000-0002-2169-4668

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cultural transmission biases such as prestige are thought to have been a primary driver in shaping the dynamics of human cultural evolution. However, few empirical studies have measured the importance of prestige relative to other effects, such as content biases present within the information being transmitted. Here, we report the findings of an experimental transmission study designed to compare the simultaneous effects of a model using a high- or low-prestige regional accent with the presence of narrative content containing social, survival, emotional, moral, rational, or counterintuitive information in the form of a creation story. Results from multimodel inference reveal that prestige is a significant factor in determining the salience and recall of information, but that several content biases, specifically social, survival, negative emotional, and biological counterintuitive information, are significantly more influential. Further, we find evidence that reliance on prestige cues may serve as a conditional learning strategy when no content cues are available. Our results demonstrate that content biases serve a vital and underappreciated role in cultural transmission and cultural evolution.

Indexed as

cognitioncultural transmissionprestigesociolinguisticsstorytellingtransmission biases

Identifiers

PMID37588523
PMCPMC10427335

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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.