Bibliographic record
Abstract
An “episode of light” in Canada sparked by Expo 67 when new art forms, innovative technologies, and novel institutional and policy frameworks emerged together. Understanding how experimental art catalyzes technological innovation is often prized yet typically reduced to the magic formula of “creativity.” In Northern Sparks, Michael Century emphasizes the role of policy and institutions by showing how novel art forms and media technologies in Canada emerged during a period of political and social reinvention, starting in the 1960s with the energies unleashed by Expo 67. Debunking conventional wisdom, Century reclaims innovation from both its present-day devotees and detractors by revealing how experimental artists critically challenge as well as discover and extend the capacities of new technologies. Century offers a series of detailed cross-media case studies that illustrate the cross-fertilization of art, technology, and policy. These cases span animation, music, sound art and acoustic ecology, cybernetic cinema, interactive installation art, virtual reality, telecommunications art, software applications, and the emergent metadiscipline of human-computer interaction. They include Norman McLaren's “proto-computational” film animations; projects in which the computer itself became an agent, as in computer-aided musical composition and choreography; an ill-fated government foray into interactive networking, the videotext system Telidon; and the beginnings of virtual reality at the Banff Centre. Century shows how Canadian artists approached new media technologies as malleable creative materials, while Canada undertook a political reinvention alongside its centennial celebrations. Northern Sparks offers a uniquely nuanced account of innovation in art and technology illuminated by critical policy analysis.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.000 |
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 teacher head, 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".