Bibliographic record
Abstract
Although it has been nearly four decades since Raymond Williams’ book Television: technology and cultural form (Williams, 2003/1975) was first published, I find it helpful to return to this seminal work with a view of reflecting on the future of public media in Canada. Television is often remembered for Williams’ critique of technological determinism in Marshall McLuhan’s theory of media. But the book should also be remembered for a number of other significant contributions, including the prescient chapter titled “Alternative technology, alternative uses?” in which Williams examined some of the innovations in broadcasting technologies being developed at the time. For Williams, these innovations represented at once a risk and an opportunity. The risk was that people in the United States and the United Kingdom who were in a position to shape the implementation of these innovations would remain complacent, allowing their deployment to be ‘sorted out as we go’ (Williams, 2003/1975, p. 140). The opportunity was that changes to broadcasting infrastructure could afford people the chance to address structural inequities and imagine alternative uses. Williams believed that the early stages in implementing new technological innovations represented an opportune moment for putting in place alternative organizational and policy arrangements for television broadcasting.
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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.037 |
| Scholarly communication | 0.018 | 0.020 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".