Bibliographic record
Abstract
Andrew Taylor From a literary perspective, the songs and recitation of the medieval minstrels are an enigma. In an age when reading was still a considerable social accomplishment, the minstrels must have played a crucial role in circulating all manner of stories and songs. One account describes them, not unreasonably, as ‘the primary agents for the mass publication of narrative poetry’ in medieval England. In various tales, minstrels vaunt their range of amusements they could offer, including the instruments they could play and the songs they could sing, while preachers and moralists proclaim that they will tell of greater heroes than those praised by the minstrels, and proceed to list who these heroes are: Roland and Charlemagne, Octavian, Isumbras, Guy of Warwick, and Bevis of Southampton. It might seem, then, that it should be easy enough to establish the minstrel repertory: what songs they sang, what stories they told, how long they performed for, and in what languages. Yet it proves extraordinarily difficult to do so. That minstrels sang or recited chivalric compositions of some kind seems clear, but just what these compositions were and how closely they resemble the surviving texts of chansons de geste or romances remain highly controversial questions. It is now widely (but not entirely) accepted that the oral tags and formulae in the surviving Middle English romances and Old English poems, notably Beowulf , are actually literary devices and that the surviving poems bear only a remote relation to any minstrel or scop 's performance. Whether the same can be said for the chansons de geste , above all the Chanson de Roland , remains more hotly disputed. The references to minstrels singing cannot be dismissed. William the Conqueror's household minstrel was said to have sung of Roland and Oliver as he rode ahead of the Norman forces at Hastings. Preachers complained that a ‘great deal is sung about Roland and Oliver’ or that ‘the voice of the minstrel sitting on the Petit Pont [leading to the Ile de la Cite in Paris] tells how the mighty soldiers of long ago, such as Roland, Oliver, and the rest, were slain in battle’ and so moves the people to tears. What is not clear is how close these songs were to the surviving texts of La Chanson de Roland or the other texts that have come down to us.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.015 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".