Bibliographic record
Abstract
Research Background: Erik Griswold and Vanessa Tomlinson (Clocked Out) first visited Chengdu in 2000 and were blown away by the vibrant culture and friendly people of Sichuan. With the generous guidance of their friend and collaborator, composer Zou Xiangping, they returned several times over the years to study Sichuan percussion, folk music, and street songs. Together they have produced three large scale shows - Chengdu Streetsongs, Sichuan Fantasy, and The Wide Alley - that have toured in China, Australia, Canada and New Zealand. With the support of the Australian Art Orchestra, dramaturg Tamara Saulwick, and video artist Scott Morrison, this ongoing collaboration has grown into Water Pushes Sand - a new suite of compositions by Griswold that reinvigorate the endangered music of China’s Sichuan Province and in doing so, create a vibrant and original world of sound. released August 4, 2017. Research Contribution: Water Pushes Sand is a cohesive look at the music of Sichuan Province through the lens of 5 improvising Australian musicians, and 5 traditional Chinese instrumentalists. The dialogue developed in rehearsal for this project, and over years of friendships and collaborative ventures underpins the sound world produced in this album. The recording was down as a series of live takes, bringing to the fore the improvisational interplay between the performers in realtime, which exemplifies the sensation of the music which is at once wild and chaotic plus sublime and ethereal. Research Significance (evidence of excellence) This album was a finalist in the ARIA awards for 2017, in the area of best new jazz album. It has received airplay across Australia, USA and Europe, and been positively reviewed in numerous places including The Australian. For the research, Tomlinson, this has expanded her percussive practice to focus on standup drumkit technique, integration of Sichuan rhythms in Western grooves, and expansion of sonic palate. The intercultural collaboration continues to be a site for transformation in performance practice, cultural awareness and music development. Research Significance: This album was a finalist in the ARIA awards for 2017, in the area of best new jazz album. It has received airplay across Australia, USA and Europe, and been positively reviewed in numerous places including The Australian. For the research, Tomlinson, this has expanded her percussive practice to focus on standup drumkit technique, integration of Sichuan rhythms in Western grooves, and expansion of sonic palate. The intercultural collaboration continues to be a site for transformation in performance practice, cultural awareness and music development.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.026 | 0.004 |
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 source (direct Gemma or distilled Codex), 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".