Bibliographic record
Abstract
Apologies to Robert Seletsky for the long delay in publication of this letter. Ed. In my article ‘New light on the old bow’ (Early Music, xxxii/2 (2004) (Part 1), pp.286–301; Early Music, xxxii/3 (2004) (Part 2), pp.415–26), I made a few statements which I would like to emend. In Part 1, on p.294, in my zeal to defend the short bow, I presumed that archets communs, appearing in the catalogues of mid-18th-century French luthiers, meant ‘short bows’. In fact, these are contrasted with archets à vis or ‘screw bows’; thus, communs is intended to indicate clip-in frogs without reference to bow length. While it does not negate the fact that short bows were still popular at the time, it is not a direct reference to them. In Part 2, on p.417, I noted that the two bows thought to be owned by Giuseppe Tartini and housed in the Conservatorio di Musica ‘G. Tartini’ at Trieste were constructed of legno santo (‘holy wood’), as described by the curator of the collection in 1969. Italian bow-maker Antonino Airenti has kindly provided me with some brilliant recent photographs proving that the woods are nothing so exotic. The long bow is simple snakewood—overly thinned, octagonal and too light, as I wrote—while the later bow—also too light—is apparently made of satiné, cacique or some other wood in the brosimum family of woods. Information about the material of the later bow is courtesy of Toronto bow-maker Stephen A. Marvin; we both dissent from Mr Airenti's description of the wood as ‘pernambuco’. The single extant clip-in frog, which evidently fits the long bow very poorly and the later bow not at all, is not boxwood as I had been informed earlier, but is probably pernambuco (again, I disagree with Mr Airenti's designation of ‘palm wood’). I should also note that the later bow is of very rough, almost folk-bow, quality; it is currently badly broken as well. It seems unlikely that a noted master like Tartini would have used a bow of this grade professionally. One may muse that musicians typically accumulate all sorts of instruments throughout their lives, and at their deaths, the precise origins or purposes of such objects are often unclear and misconstrued. At all events, the new information makes note 6 in Part 2 of ‘New light on the old bow’ unnecessary, however intriguing I found some of the information contained therein.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.011 |
| Insufficient payload (model declined to judge) | 0.100 | 0.045 |
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".