Bibliographic record
Abstract
In the 1950s and ’60s, co‐operative jazz clubs such as Vancouver’s Cellar, Edmonton’s Yardbird Suite, and Halifax’s 777 Barrington Street opened their doors in response to new forms of jazz expression emerging after the war and a lack of available performance spaces outside major urban centres. Operated on a not‐for-profit basis by the musicians themselves, these hip new clubs created spaces where young jazz musicians could practise their art close to home. Live at the Cellar looks at this unique period in the development of jazz in Canada. Centered on Vancouver’s legendary Cellar club, and including co-ops in four other cities, it explores the ways in which these clubs functioned as sites for the performance and exploration of jazz as well as magnets for countercultural expression in other arts, such as literature, theatre, and film. Marian Jago’s deft combination of new, original research with archival evidence, interviews, and photographs allows us to witness the beginnings of a pan-Canadian jazz scene as well as the emergence of key Canadian jazz figures, such as P.J. Perry, Don Thompson, and Terry Clarke, and the rise of jazz icons such as Paul Bley and Ornette Coleman. Although the Cellar and other jazz co-ops are long shuttered, in their day they created a new and infectious energy that still reverberates in Canada’s jazz scene today.
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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.026 | 0.004 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.129 | 0.029 |
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".