Bibliographic record
Abstract
The Multimedia Thesaurus is a playful tool for exploring sound and its latent and potential correlations with space, light, colour, image and movement.Its design is aimed to stimulate critical discourse about sound and multimedia, and to facilitate discussion between potential collaborators who may not share the same terminology, background experience or conceptual framework for describing sounds and music.Participants explore collections of very short sound and image files through the manipulation of physical objects linked to the files through barcodes.The sounds and images are sorted according to their perceived salient characteristics, whether relating to mood, association, or parameters of the audio signal itself.Each has an associated database entry in the computer with various types of information, updated at each "sorting".Although the main format of the tool is a room-size installation, the MMT Travel Kit is a portable prototype, where the objects can be sorted into trays and/or on trees by colour, keywords, or diagrams.For this demonstration, most of the clips will be drawn from contemporary electroacoustic and computer music compositions, including the FreeSound collection [4] and works by composers associated with the project.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".