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Record W2774945771 · doi:10.1177/1532708617742407

A Traveling Ethnography of Voice in Qualitative Research

2017· article· en· W2774945771 on OpenAlexafffund
Virginie Magnat

Bibliographic record

VenueCulture Studies &#x2194 Critical Methodologies · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Musicological Studies
Canadian institutionsUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPerformative utteranceEthnographySociologyLogos Bible SoftwareAestheticsEpistemologyAnthropologyArtPhilosophy

Abstract

fetched live from OpenAlex

This interdisciplinary exploration of voice seeks to open a space for the nondiscursive performative power of vocality in qualitative research. In the first part, I focus on anthropology and ethnographic practice to identify the ways in which “voice” gets muted when transformed by scriptocentrism (see Dwight Conquergood) into a conceptual abstraction or a metaphor. Given anthropology’s colonial legacy and the implication of ethnographers in what Anthony Kwame Harrison defines as the project of literatizing non-literate societies, I argue that the potentially scriptocentric dimension of ethnographic practice must be taken seriously in light of the travels of ethnography across disciplines and its increasingly widespread usage within qualitative inquiry. In the second part, I foreground philosopher Adriana Cavarero’s critique of the devocalization of logos in Western philosophy and its analysis by interdisciplinary voice studies scholar Konstantinos Thomaidis, who investigates the systematic exclusion, marginalization and silencing of voice through Eurocentric constructions of logos as reason and as language. By means of an imaginary visit to ancient Greece, I scrutinize Plato’s anxiety vis-à-vis performance through an ethnographic encounter with the Ion, a dialogue between Socrates and a well-known champion of rhapsodic contests. On the basis of this performative ethnographic fieldwork, I suggest that conducting qualitative research on the significance and relevance of vocality today requires listening to, engaging with, and learning from the voices of ancient and contemporary oral cultural practitioners.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.105
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.721
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.105
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.014
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.823
GPT teacher head0.600
Teacher spread0.223 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2017
Admission routes2
Has abstractyes

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