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Record W19895261 · doi:10.1089/fpd.2009.0352

Sound work as contemporary art practice : a study of sound in contemporary art practices

2002· dissertation· en· W19895261 on OpenAlexaboutno aff
Zeynep Bulut

Bibliographic record

VenueFoodborne Pathogens and Disease · 2002
Typedissertation
Languageen
FieldComputer Science
TopicMusic Technology and Sound Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSound (geography)ExhibitionWork (physics)Context (archaeology)AestheticsVisual artsDynamics (music)Sound artContemporary artSociologyArtAcousticsEngineeringHistoryPerformance artArt historyPedagogy

Abstract

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Zoonoses are diseases caused by infectious agents that are transmitted from animals to humans. Some zoonoses have been associated with the pig and pork industry. To ensure the safety of pigs and pork and to improve public health it is essential to understand the level of knowledge of those affiliated with the swine industry. The purpose of our study was to assess the knowledge of and attitude toward zoonotic and other microbial hazards among targeted groups of stakeholders associated with the Ontario swine industry. A postal questionnaire was sent to 409 individuals representing producers, veterinarians, and allied industry personnel. The questionnaire included seven dichotomous and Likert-scale type questions on microbial hazards, addressing topics on familiarity, concern, presence, antimicrobial resistance, and knowledge transfer. The overall response rate was 53% (218/409). More respondents were concerned about the zoonotic potential of Salmonella spp. (53-94%) and swine influenza virus (64-75%) than other hazards. The group of veterinarians were more familiar (>89%) with all microbial hazards than other occupation groups. Additionally, antimicrobial resistance was reported as a problem by more (60%) veterinarians than producers (20%). Educational efforts should focus on preferred methods of knowledge transfer (e.g., producer meetings, magazine) to update swine industry personnel about zoonoses in an attempt to improve food safety and public health.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.086
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.058
GPT teacher head0.313
Teacher spread0.255 · 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 teacher head, not a consensus.

Study designObservational
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
Published2002
Admission routes1
Has abstractyes

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