Bibliographic record
Abstract
Comme tout aristocrate de son rang, Ligne a dû recevoir une formation musicale, mais il reste muet à ce propos dans ses Fragments de l’histoire de ma vie, écrit autobiographique dans lequel on ne trouve guère que quelques références à des mascarades musicales auxquelles il a participé, jeune garçon, vers 1750, au Théâtre de la Monnaie, dans le cénacle de la cour du gouverneur Charles de Lorraine. Dans les archives du château de Belœil, on trouve des traces de paiement pour des leçons de danse données au jeune prince dès l’âge de 4 ans. Tout au long de sa vie, son goût musical évolue. Finalement, il apparaît que le prince, qui se méfie des personnes qui n’ont pas la fibre musicale, est éclectique en musique, aimant tout autant l’opéra comique que la tragédie gluckiste ou les oratorios de Haydn. S’il pleure en écoutant l’air « Ô Richard, ô mon roi » de Richard Cœur-de-Lion de Grétry, ses affinités le portent surtout vers l’innovation opératique du classicisme viennois. Bien qu’ouvert à une certaine modernité, le prince semble pourtant ignorer un pan important de celle-ci, la musique instrumentale, quasi absente de ses écrits.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.007 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 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".