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Record W2955166619 · doi:10.22501/jss.653460

Eroding Together: Mattering Processes of Sound

2019· article· en· W2955166619 on OpenAlexaboutno aff
Samuel Thulin

Bibliographic record

VenueJournal of sonic studies · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Musicological Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSound (geography)AcousticsPhysics

Abstract

fetched live from OpenAlex

I probe the complexity of material entanglements in situated sound art through an examination of the production and presentation of a recent project on the remote archipelago of the Îles-de-la-Madeleine, Quebec, Canada. The work, Compositional Routes of the Magdalen Islands (Thulin 2016), investigates the archipelago through sound, directly informed by the material processes that shape the islands, both physically and socially. In particular the project engages processes of erosion at the meeting point of wind, land, and sea, following the shifting contours of the littoral zone as sandstone cliffs turn to wandering dune formations. Sound here operates not only as material, or the voicing of materials, but as a mattering process that offers an opportunity to consider how different forms of material break apart and fold together. Drawing especially on work from science and technology studies, geography, and sound studies, I argue for a situated understanding of how sound matters and use the particularities of erosion on the Îles-de-la-Madeline as a way of understanding these processes. keywords:

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)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.075
Threshold uncertainty score0.148

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0170.071
Scholarly communication0.0170.010
Open science0.0020.012
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.189
GPT teacher head0.289
Teacher spread0.100 · 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 designTheoretical or conceptual
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
Published2019
Admission routes1
Has abstractyes

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