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Michel de Certeau: Ethnography and the challenge of plurality

2007· article· en· W2119415963 on OpenAlexaff
Valentina Napolitano, David Pratten

Bibliographic record

VenueSocial Anthropology · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicAnthropological Studies and Insights
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsEthnographyCitationCultural anthropologyAnthropologySociologyHumanitiesLibrary scienceArtComputer science

Abstract

fetched live from OpenAlex

devoted to his work and published since his death in 1986 attest to his broader influence.De Certeau's work has therefore been revisited and reassessed in numerous disciplinary circles.Curiously, however, anthropology, so seemingly sponge-like in its theoretical fashions, has not engaged extensively with de Certeau's work. 2 This is despite the fact that de Certeau's primary thematic concerns were peculiarly anthropological in nature.Issues of representation and resistance, marginality and minorities, power and plurality dominated his studies which spanned topics as diverse as early modern mysticism, travel narratives of the new world, urban everyday life, and contemporary policy on multi-culturalism.Furthermore, de Certeau was an architect of a theory of practice and of historical enquiry both of which have gained considerable relevance to anthropological perspectives since the 1960s.We are not arguing here that de Certeau has been completely forgotten by anthropologists, of course and for examples see (Pandolfi, 1992;Ivy, 1995;Ferme, 2001;Hernândez, 2002), but that his recognition in anthropology is very limited compared to that in other disciplines (history, literature, religious studies, cultural studies).So why has de Certeau's thinking been so little used in our discipline?The papers collected here originated out of an attempt to consider this question.Each contributor, from their own perspective, asks why de Certeau is not cited

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.633
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.026
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.051
GPT teacher head0.385
Teacher spread0.334 · 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 designTheoretical or conceptual
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

Citations44
Published2007
Admission routes1
Has abstractyes

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