Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

Understanding Cultural Information Flow: A Qualitative study of a small social group

Authors: Papa, Aliki; Cristea, Mioara; McGuigan, Nicola; Tamariz, Monica;

Understanding Cultural Information Flow: A Qualitative study of a small social group

Abstract

This study uses qualitative data to explore closely adoption and onward transmission. Interview data were collected in relation to housework regarding the perceived behaviour of participants’ parents, of themselves, and of their (grand)children (N=14). Observational data was also collected from the members of one of the families for triangulation purposes. Following the six-phase process of thematic analysis, we extracted three main themes: individual learning, horizontal transmission, and vertical transmission. While only few instances were categorised as ‘individual learning’, the instances of horizontal and vertical transmission were numerous, and included the transmission of dichotomous traits. Thus, we explored why some cultural variants outcompete others and how certain learning and teaching mechanisms lead to increased stability and longevity. Vertical congruence was observed during the transmission of a dichotomous cultural trait: transmitters who acquired two variants of the same trait (one horizontally and one vertically) chose to vertically transmit onward to learners – i.e., their (grand)children – the variant which they had previously acquired vertically (i.e., from their own parents or grandparents), even if they exhibited both variants themselves. Horizontal congruence was observed even in sibling-to-sibling transmission, as the transmitter (older sibling) transmitted onward to the learner (younger sibling) the cultural variants which he/she had previously acquired from a peer (even if these were in competition with vertically acquired alternatives). Finally, we discuss the effects of the mother/wife-transmitter, who can weaken the effects of the vertical-congruence effect in the case of her spouse and enhance them in the case of their children.

Related Organizations
Keywords

Social Networks, Cultural Transmission, Context-congruence effect, Biased Transmission

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    OpenAIRE UsageCounts
    Usage byUsageCounts
    visibility views 3
    download downloads 32
  • 3
    views
    32
    downloads
    Powered byOpenAIRE UsageCounts
Powered by OpenAIRE graph
Found an issue? Give us feedback
visibility
download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
Average
Average
Average
3
32