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Record W2776239779 · doi:10.29019/ei.v0i10.336

El paisaje sonoro

2017· article· es· W2776239779 on OpenAlexaboutno aff
Margherita Costanza Salvini

Bibliographic record

VenueEídos · 2017
Typearticle
Languagees
FieldHealth Professions
TopicNoise Effects and Management
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesSoundscapeArtCartographyGeographyPhysicsSound (geography)

Abstract

fetched live from OpenAlex

El objetivo de este artículo es proponer una mirada alternativa al paisaje urbano contemporaneo, con el fin de mostrar los límites de la práctica actual del diseño de la ciudad, que solo considera la aceptación negativa de los sonidos y ruidos percibidos en el contexto urbano. La disciplina de los soundscape studies –estudios del paisaje sonoro– nació en los años setenta en Canada, aunque ya en estos años los investigadores del MIT habían anticipado algunas reflexiones sobre la importancia de la percepción auditiva en la comprensión de la ciudad. Estas investigaciones abrieron las puertas a un nuevo paradigma cognitivo con el cual estudiar el paisaje urbano, y nos hacen entender como los estímulos acústicos representan una dimensión cultural fundamental e independiente del paisaje. La introducción de los activos intangibles en la lista de los Patrimonios de la Humanidad de la UNESCO es una prueba de la importancia fundamental de los sonidos de las poblaciones como herencia cultural.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, 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: none
Teacher disagreement score0.533
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
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.009

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 head0.061
GPT teacher head0.467
Teacher spread0.406 · 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
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

Citations1
Published2017
Admission routes1
Has abstractyes

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