SpatGRIS/ServerGRIS, Creative tools for 2D and 3D sound spatialization
Bibliographic record
Abstract
The Groupe de Recherche en Immersion Spatiale (GRIS) is a research group based at Universite de Montreal. It has been involved in spatialization software development since 2009. SpatGRIS is a multichannel sound spatialization plugin available in Audio Unit (Mac) and VST formats (Mac and Windows). This free and open-source plugin allows movement of multiple sound sources on a variable set of speakers. Different modes of grouped movement and a trajectory system are provided for spatialization of mono, stereo and multichannel sources. The spatialization is made directly within the DAW without the need for external software. SpatGRIS has also a mode called OSC Spatialization. In this mode, the audio is not spatialized within SpatGRIS but externally by the ServerGRIS. In this case, SpatGRIS sends only Open Sound Control (OSC) data to the Server to place the sounds in a set of speakers. The sound itself is sent from the DAW to the Server via JackRouter.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".