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Record W1951722047

Playful tools, serious questions

2007· article· en· W1951722047 on OpenAlexaffvenue
Rosemary Mountain

Bibliographic record

VenueCanadian acoustics · 2007
Typearticle
Languageen
FieldComputer Science
TopicMusic and Audio Processing
Canadian institutionsConcordia University
Fundersnot available
KeywordsCLIPSComputer scienceSortingTerminologysortRelevance (law)SoftwareMultimediaPerceptionHuman–computer interactionInformation retrievalArtificial intelligenceLinguisticsPsychology
DOInot available

Abstract

fetched live from OpenAlex

The Interactive Multimedia Playroom is a tool for investigating the perception tool for investigating our perception of various acoustic properties of sounds triggered by the user through barcode technology. 3 different 3-D grids sorting bins in Playroom sort the clips by mood, properties, sound-image interaction, and by indicating color associations. The tool function at various levels such as to encourage users to discriminate between subtle differences in acoustic properties of sound and to test the relevance and accuracy of descriptors used by acoustic researchers. The design installation has various components such as computers and software for triggering the playing of the media, databases, sorting labels, explanatory texts, reference material, illustrative props, and video camera. Playroom project also includes more automated data collection, easier re-assignments of clips, newer database forms for clip information, and clarification of terminology.

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)0.006
metaresearch head score (Gemma)0.026
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.084
Threshold uncertainty score0.282

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.026
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0050.010
Scholarly communication0.0120.015
Open science0.0030.009
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0840.017

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 head0.016
GPT teacher head0.235
Teacher spread0.220 · 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
Published2007
Admission routes2
Has abstractyes

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