Bibliographic record
Abstract
Pete Seeger (God bless him) seems to go on forever. He turned me on to folk music in 1955, and he's turned on millions more both before and since. He may well have influenced you. In March 1996 when recovering in hospital from a pulmonary embolism that I managed to obtain flying to and from America, I wrote a song about his life from the thirties through to the seventies. I managed to get it into five verses, so I must have left a lot out! I guess I've sort of kept the song hidden away since 1996, but if you are anything like me, you are probably on the lookout for songs other people are not singing. And my song about Pete might just be one of those songs!!! If you would like to sing it, I would be most honored. It's published here in Great Britain by Fore Lane Music, but that doesn't mean you can't make your own amendments, indeed you might like to write another verse to cover the period from the seventies through till now! I own Fore Lane Music, by the way, so feel free. There is one very strange chord tucked away in there; if you need help, contact me. I've enclosed the words at the bottom of this letter. You can hear the song sung in strict timing if you go to my web page (joestead.com), where it can be found on two albums Extravagant Schemes and Miles from Halifax. The song is called Another Folksinger--because that is how Pete sees himself. You can find me doing it live at afolk club in Phoenix, Arizona (complete with rambling introduction), if you visit http://www.youtube.com/watch?v=j8HdYo-CFs0. Thank you for reading this thus far. Keep smiling, keep singing and keep well!! Just Another Folksinger I first saw Pete Seeger at St Pancras Town Hall Theatre on October 4,1959. I was already a folk music enthusiast, but this performance by Pete totally locked me on. Seeger the catalyst, Seeger the idealist, Seeger the friend, has surely been the inspiration for many performers. To me, he is the Godfather of Folk Music. Perhaps the biggest thrill in my career was traveling across the Atlantic in April 1995 to do just one concert with the man. I had always intended to write a song about him, preferably before one of us died, and never quite got around to it. Then, in March 1996, I returned from another tour in the US with a deep vein thrombosis in the right leg. Apparently, I had spent 12 days humping through Pennsylvania, New Jersey, and Delaware unaware of just how ill I was. Upon my arrival back in Britain, I was rushed immediately into hospital whereupon it was discovered that the blood clot was on the move around my body. My deep vein thrombosis had turned into a pulmonary embolism. I suddenly realized that if my Pete Seeger song was ever to be written, now was the time. …
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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) | 0.000 | 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) | 0.008 | 0.000 |
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 teacher head, 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".