Bibliographic record
Abstract
"Rock'n'Radio illustrates that Montreal was at the epicentre of the rock radio revolution in Canada, eventually attracting talented DJs from the U.S., Canada and the U.K. Their personal stories and the inevitable collision with the power of alternative FM rock radio in the late 60s take the reader through some of the best rock music recorded and the social changes that percolated in the background. The period 1926 to 1949 can be considered the Golden Age of radio when it was the heart of the North American family. Much to everyone's surprise, it survived the incursion of television to live another Golden Age, the 1960s and 1970s when rock 'n' roll music seeped its way onto mainstream radio, pushing aside Perry Como and the Dorsey Brothers for Elvis and The Beatles. The new golden era of radio spawned what would eventually be called Top 40 AM radio, whose premise was built on the philosophy: play all the hits, then play them again. Pioneer Top 40 DJs like Alan Freed in the U.S., widely recognized as the man who coined the phrase "rock 'n' roll," spawned a new breed of radio personalities, the fast-talking salesman who delivered the goods. Hundreds of radio stations in North American gave up their entire programming day over to rock music. And with that came a legion of young, hungry top 40 DJs such as Dave Boxer, Ralph Lockwood and Doug Pringle, looking for jobs at stations across Canada."--
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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.020 | 0.008 |
| Scholarly communication | 0.018 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.005 | 0.010 |
| Insufficient payload (model declined to judge) | 0.046 | 0.008 |
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".