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Record W2096816767 · doi:10.1017/s1355771802001073

Alien intimacies: hearing science fiction narratives in Hildegard Westerkamp's <i>Cricket Voice</i> (or ‘I don't like the country, the crickets make me nervous’)

2002· article· en· W2096816767 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.

Bibliographic record

VenueOrganised Sound · 2002
Typearticle
Languageen
FieldComputer Science
TopicMusic Technology and Sound Studies
Canadian institutionsConcordia University
Fundersnot available
KeywordsSoundscapeCricketAlienNarrativeSound (geography)SingingActive listeningVisual artsHistoryAestheticsArtSociologyPsychologyAcousticsLiteratureCommunication

Abstract

fetched live from OpenAlex

This paper discusses listener responses to a contemporary soundscape composition based on the sound of a cricket. Soundscape composers make works based on everyday sounds and sound environments, usually recorded by themselves (Truax 1984, 1996). While the composer of this piece aims to bring listeners closer to the sounds around them by creating audio pieces based on these sounds (Westerkamp 1988), some listeners feel fear and anxiety rather than the heightened closeness and understanding that she wishes listeners to experience. I compare the sound structure of Cricket Voice with close listening to excerpts of the film soundtrack of Ridley Scott's Alien as well as a short excerpt from the soundtrack of the X Files , discussing how science fiction film and television soundtracks index sonic intimacy with different intent from that of Westerkamp, and raising questions about how such approaches to intimacy might simultaneously reflect and intensify urban anxieties about the sounds of ‘alien’ species that are associated with wilderness environments.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.587
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.026
GPT teacher head0.248
Teacher spread0.221 · 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