“THER IS A VERY INSISTENT NOISE FROM THE MACHINES IN HERE”: Theorizing Digital Media through Greg Curnoe’s Computer Journals
Bibliographic record
Abstract
Background This article explores the Canadian artist Greg Curnoe’s experiments with computer-based composition with an emphasis on the Computer Journals project (1969–1971). The Computer Journals project is situated in relation to the art scene in London, Ontario, the development of computer art during the late 1960s, and contemporary theories of technology and culture. Analysis It is argued that the project elaborates an innovative analysis of the relationship between technology and creativity that offers a critical understanding of power, agency, and expression. Conclusion and implications It is suggested that a return to Curnoe’s computer-based work offers an alternative to dominant schools of media theory and the philosophy of technology in Canada during the second half of the twentieth century, as well as anticipating contemporary discussions of digital media and creativity.
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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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.016 | 0.059 |
| Scholarly communication | 0.016 | 0.014 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".