Bibliographic record
Abstract
field/harbour/thaw is the album release of a work for solo cello and live ambisonic sound processing. The research process embodied a social model of composition through collaboration, working to find a shared sonic language exploring the combined instrumental and electronic ‘voice’, centred on such matters as timbre, touch, lyricism, poise, gestural dynamics and physical movement (a ‘kinetics of style’). Experimentation involved exploring the interaction of the physical cello with performance space, through the control of feedback, use of impulse responses and convolution, and developing spatial concepts such as interior/exterior, proximity, enclosure, ‘embrace’, and ‘yonder’ to shape the spatial experience of the audience. Outcomes of the experimentation were combined in what was effectively a ‘sequential performance ecosystem’ suitable for redeployment in other collabor ative contexts. Conceptually, the piece owes much to Heidegger’s description of sunrise as an event that ‘discloses space’; it tries to tap into the liminal aspect of performance, as utterance projected forth into the world, and into the marginal regions between light and dark, real and imaginary landscapes, body and world. The piece too dwells in a space between territories, drawing on field recording and developmental workshop activity undertaken in Glasgow and rural Nova Scotia through 2018 and 2019, creating an opening for discourse around creative application of phonography in exploring complex colonial histories. The material for the piece was performed and recorded at Acadia University, Nova Scotia in March 2019, with the edited, mixed and mastered album released on the Never Come Ashore label in July 2022.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.166 | 0.026 |
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".