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Record W3195815637

On Benjamin’s Temporality of Crisis, Foucault’s Subjugated Knowledges and their Import in Theorising Revitalisation Movements: A Critical Theoretical Examination

2009· article· en· W3195815637 on OpenAlexaff
Mark S. Dolson

Bibliographic record

VenueAnthropological notebooks · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicWalter Benjamin Studies Compilation
Canadian institutionsWestern University
Fundersnot available
KeywordsTemporalityHistoricity (philosophy)EpistemologySociologyAgency (philosophy)InterrogationPhenomenonStructure and agencyAestheticsPhilosophyPoliticsPolitical scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

The central purpose of this paper will be to explore the socio-cultural phenomenon of revitalisation movements through the theoretical lenses of Walter Benjamin’s highly enigmatic approach to temporality and experience, and Michel Foucault’s notion of subjugated knowledges, and the genealogies utilised to unearth these subjugated knowledges. Inasmuch as Benjamin’s approach to history and human experience is extremely cryptic in certain portions of his oeuvre, a considerable portion of this paper will attempt to explicate this approach as perspicaciously as possible. In that it considers two very different approaches to seeing the world and socio-cultural phenomena historically, then, this paper is heuristic and exploratory – it offers a route through which to explore and work through two theoretical ways of approaching temporality and historicity in order to see how they contrast and compare with respect to changing (through agency, creativity, and the requisite conceptual tools) the circumstances of the present and future based on an optics of the past – that is, revitalisation movements. I conclude the paper by attempting to apply the aforementioned theoretical approaches to history to the 19th century Native American revitalisation movement known as the Ghost Dance.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score0.719

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
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 head0.042
GPT teacher head0.307
Teacher spread0.265 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2009
Admission routes1
Has abstractyes

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