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Record W102379120

28' 23": (On) Time Performance and Waiting as Drama

2009· article· en· W102379120 on OpenAlexaboutno aff
Phillip Vannini

Bibliographic record

VenueM/C Journal · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicAnthropology: Ethics, History, Culture
Canadian institutionsnot available
Fundersnot available
KeywordsDramaIntrospectionAction (physics)Context (archaeology)AestheticsSociologyPsychologyEpistemologyHistoryVisual artsCognitive psychologyArt
DOInot available

Abstract

fetched live from OpenAlex

Few things seem as immaterial as time. Existentially profound experiences of time require a great deal of reflective introspection and the uncommon ability to translate complex sensations into various modes of communication. Arguably, it is for these reasons that ordinary practices of time like waiting become oversimplified; reduced to facile binary oppositions such as stasis vs. growth, stillness vs. movement, and activity vs. inactivity. The scope of this paper is to empirically transcend the limitations of these ideas. Time is material, it is commonly sensed, experienced and discussed in mundane ways, I find and argue. My specific focus here is on the practice of time that we refer to as waiting. Waiting—as the gerund suggests—is an act, a performance. The use of the word performance is intended to suggest action and drama. The common practice of waiting—regardless of its context—can for example be understood as a social drama and more broadly as time performance. Drawing upon performance theory and on ideas of material culture as performance I intend to provide empirical evidence to a much discussed but understudied theoretical vision of time as action or performance.  The short ethnographic tale I present below draws from an ongoing fieldwork project being carried out in over thirty different field sites all over the West Coast of British Columbia, Canada. By way of in-depth interviews (to date with 223 individuals) and two years (again, to date) of participant participation this project intends to understand the roles that ferry boats play in the lives of island and coastal community dwellers.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.166
Threshold uncertainty score0.330

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0060.006
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0300.008

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 head0.022
GPT teacher head0.322
Teacher spread0.300 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2009
Admission routes1
Has abstractyes

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