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Record W3109843978 · doi:10.22215/etd/2020-14008

Soundscape: The Background City

2020· article· en· W3109843978 on OpenAlexaboutno aff
Jamison Thomas Robert Duff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldHealth Professions
TopicNoise Effects and Management
Canadian institutionsnot available
Fundersnot available
KeywordsSoundscapeCLARITYSound (geography)Natural (archaeology)ArchitectureSpace (punctuation)Natural soundsEvent (particle physics)PhenomenonHistoryAcousticsAestheticsGeographyComputer scienceArtSpeech recognitionEpistemologyArchaeologyPhilosophy

Abstract

fetched live from OpenAlex

Sound is a natural phenomenon shaped by time and space. Time affects a sound's pitch while the physical or built environment surrounding the sonic event directly influences its volume, clarity and its decay. Thus, architecture and sound form an inseparable bond. Soundscape - The Background City explores various soundscapes we encounter in our lives living in urban Ottawa though space and time. How are different soundscapes visualized and mapped to distinguish themselves from one another? Can they be enhanced, orchestrated or subdued to be better understood? As this transfers through to spatial production, the emerging project asks how the awareness and manipulation of daily soundscapes can be a catalyst towards sonic discovery in Ottawa's urban core. We explore how urban soundscapes, framed by architecture, affect an individual's experience of their surroundings, built or unbuilt.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.135
Threshold uncertainty score0.268

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0060.005
Scholarly communication0.0080.003
Open science0.0010.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0270.003

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 head0.194
GPT teacher head0.440
Teacher spread0.246 · 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 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
Published2020
Admission routes1
Has abstractyes

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