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Record W4387221208 · doi:10.1007/s10624-023-09706-8

Autoethnography, African studies, and whiteness: problems of cultural appropriation

2023· article· en· W4387221208 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueDialectical Anthropology · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicTourism, Volunteerism, and Development
Canadian institutionsUniversity of British Columbia Hospital
Fundersnot available
KeywordsAutoethnographyAppropriationSociologyCultural appropriationAnthropologyGender studiesEthnologyAestheticsEpistemologyArtPhilosophy

Abstract

fetched live from OpenAlex

Autoethnography can be a powerful analytic tool.It is a form of research that is like autobiography and ethnography rolled into one.It centres the author's experience as a source of data but does so in a way to speak analytically about sociological and cultural features of a community the author is part of.Drawing from one's personal experience can lend power and authority to the author's voice; it can drive a narrative forward; it can provide a sympathetic character for a reader to connect with.It can also centre the author in ways that reinforce their own power and privilege.By referencing one's own experience in a fieldsite, for example, one skirt issues of permission, consent, or local approval by highlighting the author's own subject location and personal experience.For close to 50 years, anthropology has been witness to a reflexive practice, one in which the author writes themselves into their work (Marcus and Fischer 1986).This is an approach that bears strong similarities with autoethnography.The difference for me, however, is that the autoethnographer draws from an authentic place of belonging, while the reflexive anthropologist, though clearly present, is a visitor seeking to build connections.Reed-Danahay argues "autoethnography's main contribution to understandings of human experience is that it troubles the persistent dichotomies of insider versus outsider, distance and familiarity, objective observer versus participant, and individual versus culture.Because it assumes that ideas of the self are culturally constructed and socially enacted, autoethnography has potential for fruitful explorations of relationships between ethnographic researchers and their interlocutors.Autoethnography addresses a desire to incorporate the subjectivity of the researcher as well as those who are the focus of research into ethnographic writing and other forms of reportage.It works against ideas that social research should reflect the viewpoint of an "objective" observer" (2019:2).At the same time, Reed-Danahay finds there is no explicit agreement or consensus on what autoethnography is as a method or a style, but rather a lose body of works self-identifying under a common label.

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.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.140
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.054
GPT teacher head0.361
Teacher spread0.307 · 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