Bibliographic record
Abstract
Master Rock is a multi-component output comprising live performances, a radio play and a sole-authored book, written and directed by Fusco. The project was performed and recorded live inside Ben Cruachan Power Station, a mile beneath west Scotland’s highest mountain. Fusco tells, for the first time, the epic material history of the site fusing the documentary and the lyric, premiering 50 years to the day of the station opening (15 October 2015). Commissioned by Artangel and BBC Radio 4 (with additional funding from Carnegie Trust, Craignish Trust and Creative Scotland), Fusco’s project was selected from 1,000 proposals. Master Rock was broadcast on Radio 4, in both arts and drama slots, the first experimental commission to reach a huge mainstream audience; subsequently available on BBC iPlayer, experienced by 2.5 million listeners; and downloaded as a podcast by 16,000 individuals. Fusco’s key methodology was writing durationally in-situ inside the station, where special access was granted by Scottish Power to work on-site and to digitise unseen items from their archive. She collected oral testimonies from surviving labourers who built the station, collaborating with engineering and technology historians, geologists and acoustic specialists from the Institut de Recherche et Coordination Acoustique/Musique (IRCAM), Paris, to produce a score testing the qualities of the site. This key methodology was extrapolated into Fusco’s decision to record the play inside the mountain, capturing its complex sonic texture and facilitating listeners to viscerally experience what it is to be inside a mountain. The work was covered internationally in many specialist press and national newspapers including Art Monthly, The Guardian, Nero and named as one of Frieze’s art works of the year: the project was also published as a book. Fusco has been invited to speak at many international venues about the work, including Architectural Association (London) and Contemporary Calgary (Canada).
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.761 | 0.552 |
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".