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Record W7093787239

Héritage de l’écologie sonore : écouter l’Anthropocène à travers trois œuvres d’art sonore

2024· article· fr· W7093787239 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCanadian acoustics · 2024
Typearticle
Languagefr
FieldPsychology
TopicSound Studies and Aurality
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsExhibitionSound (geography)SoundscapeAnthropocenePerformance artThe arts
DOInot available

Abstract

fetched live from OpenAlex

This text questions the legacy of sound ecology in contemporary sound art practices by analyzing three devices that offer different acoustic experiences of the Antropocene: the exhibition "Le Grand Orchestre des Animaux" organized at the Fondation Cartier in Paris in 2016, Louis Braddock Clarke's sound installation "Weather Gardens" (2023), and Christina Kubisch's series of sound walks "Electrical Walks" (2001 - ). The exhibition "Le Grand Orchestre des Animaux", inspired by the work of American musician and bio-acoustician Bernie Krause, invites the public to immerse themselves in an aesthetic meditation, both sonic and visual, around an animal world that is increasingly threatened today. With "Weather Gardens", Clarke lets us hear the infrasound produced by nuclear testing. Finally, "Electrical Walks" renews our sensitive relationship to the sound and media environments of the Anthropocene by sonifying the electrical and electromagnetic currents that characterize the communication era.

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.

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 categoriesMeta-epidemiology (narrow), Insufficient 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.481
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.003

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 head0.036
GPT teacher head0.322
Teacher spread0.286 · 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