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Record W7152010297 · doi:10.1353/tsu.2010.a986332

C reating a C ontemporary A rchive : A lonzo K ing L ines B allet at T wenty -F ive

2010· article· en· W7152010297 on OpenAlexaboutno aff
Jill Nunes Jensen

Bibliographic record

VenueTheatre Survey · 2010
Typearticle
Languageen
FieldPsychology
TopicDiversity and Impact of Dance
Canadian institutionsnot available
Fundersnot available
KeywordsDanceBalletLimitingWhite (mutation)Point (geometry)Quarter (Canadian coin)Modern dance

Abstract

fetched live from OpenAlex

Abstract: In the title essay from Choreographing History , Susan Leigh Foster interrogates the belief that the body serves as a site for dance to be enacted upon and through. She, along with several others in this edited volume, sought to reposition and consequently enhance the contribution of dancers’ bodies by not limiting the essays within to observational accounts or choreographic reviews. Instead Foster and her colleagues query “the possibility of a body that is written upon but that also writes” as means of urging dance scholars to “move critical studies of the body in new directions.” I take this position as an entry point and use it to contemplate the process of making and writing about contemporary ballet history using Alonzo King LINES Ballet, a San Francisco–based troupe, as a case study. In this essay, I describe the challenges I and others have faced in our efforts to collect and interpret a visual and verbal archive for this dance troupe, which has been performing for more than a quarter of a century. This process highlights a larger issue for dance historians, namely, how to create a critically sensitive archive for a company when the most reliable (and oftentimes the only available) source is the personal memory of its choreographer. I anchor this analysis to the different models of critical writing about bodies offered by Michel Foucault, Roland Barthes, Jacqueline Shea Murphy, and Hayden White and suggest that companies such as LINES offer challenges to those engaged in the archival process and in the practice of writing history.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.215
Threshold uncertainty score1.000

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.035
GPT teacher head0.303
Teacher spread0.267 · 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 designObservational
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

Citations0
Published2010
Admission routes1
Has abstractyes

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