A diffractive approach to multimodal transcription: Materialising entanglements between humans and non-humans

Posthumanism is a transdisciplinary paradigm which challenges our anthropocentric gaze when carrying out research. In this article, I argue that multimodality aligns with the posthuman paradigm, and that multimodal analysis can be a useful tool when completing empirical posthuman research. I present empirical data from a study on pre-schoolers’ creativity with tablet computers which combined multimodal methods and a posthuman theoretical lens. Data were analysed using multimodal (intra) action analysis. Multimodal (inter) action analysis focuses on social action and interaction between humans, whereas multimodal (intra) action analysis focuses on the entanglement between human and non-human. Drawing upon Haraway and Barad’s “diffraction”, a methodological alternative to reflexivity, multiple different multimodal transcripts of the same audio-visual data were created and then read through one another to see what “differences made a difference”. Repeatedly engaging with the data in different formats allowed me to slow down and pay attention to (intra) activity between humans and non-humans. The unique contribution of this paper is in my transfer of methods and concepts between multimodality and posthumanism, particularly the use of a diffractive approach to reading multimodal transcripts.

Authors

Institutions

Publication Details

Journal
Multimodality & Society
Published
2024-10-09
DOI
https://doi.org/10.1177/26349795241291369
Citations
1
Primary Topic
Posthumanist Ethics and Activism
Type
article
Field-Weighted Citation Impact
4.29

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A diffractive approach to multimodal transcription: Materialising entanglements between humans and non-humans

F. Byrne
1 citations
Multimodality & Society
Posthumanist Ethics and Activism
4.29
article

A diffractive approach to multimodal transcription: Materialising entanglements between humans and non-humans

F. Byrne
article en
1 citations

Abstract

Posthumanism is a transdisciplinary paradigm which challenges our anthropocentric gaze when carrying out research. In this article, I argue that multimodality aligns with the posthuman paradigm, and that multimodal analysis can be a useful tool when completing empirical posthuman research. I present empirical data from a study on pre-schoolers’ creativity with tablet computers which combined multimodal methods and a posthuman theoretical lens. Data were analysed using multimodal (intra) action analysis. Multimodal (inter) action analysis focuses on social action and interaction between humans, whereas multimodal (intra) action analysis focuses on the entanglement between human and non-human. Drawing upon Haraway and Barad’s “diffraction”, a methodological alternative to reflexivity, multiple different multimodal transcripts of the same audio-visual data were created and then read through one another to see what “differences made a difference”. Repeatedly engaging with the data in different formats allowed me to slow down and pay attention to (intra) activity between humans and non-humans. The unique contribution of this paper is in my transfer of methods and concepts between multimodality and posthumanism, particularly the use of a diffractive approach to reading multimodal transcripts.

Multimodality & SocietyVol. 5(2)
University of East London (GB), University College London (GB)
Economic and Social Research Council
Quality Education
Openalex Percentile: Top 6%
Posthumanist Ethics and Activism
4.29
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.