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Record W4388693073 · doi:10.33823/jfs.2023.5.1.194

Where You Are

2023· article· en· W4388693073 on OpenAlexaff
Aydin Man Chun Quach, Timothy K. Nguyen

Bibliographic record

VenueJournal of Festive Studies · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Musicological Studies
Canadian institutionsVancouver Enterprise ForumUniversity of British Columbia
Fundersnot available
KeywordsEvent (particle physics)DanceSpace (punctuation)Energy (signal processing)EthnographyVisual artsSociologyComputer scienceArchitectural engineeringEngineeringArtMathematicsAnthropology

Abstract

fetched live from OpenAlex

This article uses the author’s auto/ethnographic experience while participating in a shuffle circle to interrogate the stakes at play when a shuffle circle and a community are created at an electronic dance music (EDM) event. Shuffle circles develop as a method of understanding the porosity of community building and as a space in which individuals can learn to feel and sense “the vibe” of others and themselves. Methods of interpreting the energy flow between participants or “the vibe” are discussed and instances in which the energy changes and is redirected are highlighted not as points of weakness in community but as opportunities to strengthen and reimagine “the vibe.”

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)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.766
Threshold uncertainty score0.783

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0090.002
Scholarly communication0.0110.009
Open science0.0010.006
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.2340.163

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 head0.282
GPT teacher head0.313
Teacher spread0.031 · 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.

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
Published2023
Admission routes1
Has abstractyes

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