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Record W7008420668

BBC Radio 3 Sunday Feature – Tuner of the World

2023· other· en· W7008420668 on OpenAlexaboutno aff

Bibliographic record

VenueGoldsmiths (University of London) · 2023
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsSoundscapeActive listeningFeature (linguistics)Broadcasting (networking)TunerHappeningSet (abstract data type)
DOInot available

Abstract

fetched live from OpenAlex

BBC Radio 3 Sunday Feature – Tuner of the World.
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\n"For the next hour, I need your ears". It's 1974 and someone is trying to recruit you for a listening experiment on public radio in Canada.
\n
\nPioneering Canadian composer and soundscape maestro, R Murray Schafer really wants you to commit: "if you're just listening to this programme casually, you'd better turn it off right now".
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\nThis audio experiment was part of a series on the CBC - the Canadian Broadcasting Company, called Soundscapes of Canada, consisting of ten hours of soundscape montage, field recordings and lessons in listening. From Church bells, to birdsong, to car horns and an entire episode made up of people across Canada giving the sound recordist directions: this was 'slow radio' years ahead of its time.
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\nThe series was recorded and produced by The World Soundscape Project, a group Schafer set up to raise the importance of the soundscape in what he saw as a world of increasing noise, which had reached "an apex of vulgarity". The group went on to publish Soundscape: The Tuning of the World - a vast anthology documenting just about every kind of sound you could imagine - natural, human-made and technological.
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\nR Murray Schafer was many things – Canada’s preeminent experimental composer of the 20th Century, an artist, novelist, educator, musicologist, historian, and environmental activist. Schafer was also a romantic, with a strong sense of Canadian identity, who preferred rural life with an uncluttered sense of place. Critics, and he had many, accused him of being abrasive, a luddite, and prone to cultural appropriation.
\n
\nAbove all though, Murray was a passionate listener, constantly pushing his message of an "ecologically balanced soundscape" by asking "which sounds do we want to preserve, encourage, multiply?" In this sound-rich documentary (best enjoyed with headphones) John Drever, Professor of Acoustic Ecology and Sound Art at Goldsmiths, University of London explores Schafer’s life and legacy, as the soundscape now has an ISO framework for consideration in urban design and planning in the UK and beyond.
\nContributors: Hildegard Westerkamp, Barry Truax, Ellen Waterman, Claude Schryer, Lisa Lavia, Tin Oberman, Andrew Mitchell and Francesco Aletta.
\nSoundscapes of Canada and Vancouver Soundscape material used with kind permission of the World Soundscape Project, Sonic Research Lab, School of Communication, Simon Fraser University, Canada.
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\nUse of 'Crescendo' courtesy of Martyn Ware
\n
\nPresented by John Drever
\nProduced by Rami Tzabar
\nA TellTale Industries production for BBC Radio 3

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 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: Other · Consensus signal: Other
Teacher disagreement score0.068
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.003

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 head0.008
GPT teacher head0.192
Teacher spread0.184 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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