Bibliographic record
Abstract
Stan Rogers Connie Kaldor Al Simmons Kerrville Folk Festival Kerrville, Texas May 30, Texas (Date Not Confirmed, as this out in the world of bootleg concerts as May 24, 1983. That is very incorrect, since the Kerrville Folk Festival was May 26 to June 5. Stan was in Santa Monica, CA on May 28, 1983 at McCabe's Guitar Shop) This probably was a workshop as Stan shared this outing with Connie Kaldor and Al Simmons. I have a email were Connie said this was a "Tribute To Canada". Garnet says in his book, that they arrived on May 29 and left on May 30. Set list below. From a tape player in the audience, most likely: 01 - Make and Break Harobur (SR) 02 - The Town Dies Slowly (CK) 03 - Medley Of All Time Hits (AS) 04 - Lookout Hill (SR) 05 - If You Love A Hippopotamus (CK) 06 - The Eye Chart (AS) 07 - The Idiot 08 - Batoche (CK) 09 - Lock Keeper (SR) 10 - The Sons and Their Daughters (CK) Backing Musicians Garnet Rogers And ?
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.597 | 0.022 |
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; both teacher heads agree on what is shown here.
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".