Bibliographic record
Abstract
Ballgame is a play for single voice. Written in the tradition of the radio broadcast, it takes the form of a play-by-play account of a mathematically ‘average’ baseball game, in which a single male voice announces the imagined game in real time. Through the careful balance of analytic, descriptive and anecdotal language, Ballgame attempts to conjure a perfectly plausible game, unlocateable in time or place. The work will take three different forms: it will be recorded as an audio work, published as a play script, and presented as a live performance by a single actor. Ballgame (Innings 1–3) was completed and recorded September 2009 and shown in a solo exhibition at Greengrassi, London. The full nine innings of Ballgame are currently in progress, and will be shown in a solo show at Presentation House, Vancouver in 2011, which will consist of the installation of an audio recording, a live performance and the publication of completed playscript. The work will then travel to the Walter Phillips Gallery at The Banff Centre in Canada in 2012. Ballgame is commissioned by Arts Partners in Creative Development for $41,500. (Lead Organization: Presentation House Gallery operated by The BC Photography and Media Arts Society).
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.634 | 0.492 |
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".