bill bissett on CKVU-TV September 1978
Bibliographic record
Abstract
In this week’s Audio of the Week clip from PennSound, a partner affiliate of the SpokenWeb research network, we hear a televised reading of bill bissett chanting and reading from his then upcoming book Sailor (1978) on Vancouver’s CKVU-TV (now CityTV) show “The Vancouver Show” in early September 1978. As bissett recalls, host and reporter Pia Shandel invited bissett and members of Vancouver’s literary community to be on the show. Remarkably, the poet was one of several members of Vancouver’s literary community, including Gerry Gilbert who was their on-air poet in 1977 (Ellis 271), to be involved with the station. By listening to the clip, we gain an aural glimpse into bissett’s life following accusations of pornography against his work in the House of Commons. Audio clips of bissett reading from the 1960s are discussed in The SpokenWeb Podcast and SoundBox Signals crossover episode “Is that Me?” and recordings of bissett can be heard in the Sir George Williams University Poetry Series collection (see below for link). In contrast to these earlier recordings, in the CKVU-TV recording, we hear bissett incorporate chanting, humour, and audience interaction into his reading, giving listeners access to a bissett performance that more closely reflects his contemporary practice. While bissett has become an iconic figure in Canadian literature, this clip from the 1978 CKVU-TV broadcast demonstrates that he was not always beloved.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.182 | 0.049 |
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".