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Record W3095219522 · doi:10.3138/ctr.184.008

<i>World of Echo</i>

2020· article· en· W3095219522 on OpenAlexvenueno aff
Mitchell Akiyama

Bibliographic record

VenueCanadian Theatre Review · 2020
Typearticle
Languageen
FieldPsychology
TopicMultisensory perception and integration
Canadian institutionsnot available
Fundersnot available
KeywordsVisual artsSound (geography)Performative utteranceEvent (particle physics)ArtAestheticsAcoustics

Abstract

fetched live from OpenAlex

Bodies constantly emit and receive sensorial stimulation. Having this feedback loop of sensation interrupted can feel profoundly disorienting, even smothering and threatening, as the author discovered when he first visited an anechoic chamber—a soundproof room in which acoustic reflections are virtually absent. This essay is a meditation on the role that sound, vibration, and sensation play in allowing us to feel at home in the world. To work through this proposition, Akiyama stages an imaginary performance event in the anechoic chamber at IRCAM (an institute for the study of sonic art and technology in Paris). This fictitious event brings together a group of expert listeners, including Alvin Lucier, one of the leading figures in conceptual sound art; Maryanne Amacher, a pioneering sound artist, composer, and psychoacoustics researcher; Daniel Kish, the found of World Access for the Blind and a noted expert in human echolocation; and Arthur Russell, a composer and producer who was at the vanguard of the New York downtown music scene in the 1980s, until his tragic, early death from AIDS. Each figure, different in their expertise and capacities, brings one closer to the realization that one’s ability to feel at home in the world is inextricably linked to our sensorial entanglement with our surroundings.

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)0.000
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.906
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0440.003

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 head0.078
GPT teacher head0.339
Teacher spread0.260 · 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 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

Citations1
Published2020
Admission routes1
Has abstractyes

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