Bibliographic record
Abstract
Gay never recorded an album, never won a Juno. His music existed in the moment, appreciated by the few who were lucky enough to be in the right place at the right time. For the rest of us, those late-night jam sessions in a shack in an alley on the bad side of Edmonton never happened. We never got to hear him play the Cole Porter songs he loved with Carlos Montoya, never got to watch the ashes build dangerously on the end of his menthol cigarette. And when Frank Gay died, only the guitar players gently wept. — Shelley Youngblut Until his death in 1982, Edmonton luthier and guitarist Frank Gay built guitars for several famous musicians, including country stars Johnny Cash, Don Gibson, Webb Pierce, and Hank Snow. He captivated listeners with his singular talent on guitar and other instruments, and was well known within the music industry. Trevor Harrison’s detective work uncovers the story of this private, charming, and bohemian man, doing a tremendous service to Canadian culture and music history. Harrison pieces together Frank Gay’s life through interviews with people who knew him and saw him play. Very few recordings of him playing exist, and the sparse accounts of Gay’s life and work raise more questions than they answer. Musicians and instrument makers, as well as those interested in Canadian music or Edmonton’s colourful past, will be fascinated by this biography of western Canadian luthier, musician, and guitar virtuoso Frank Gay.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.147 | 0.034 |
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".