Bibliographic record
Abstract
Vincent d'Indy's Istar (1897), a set of variations for orchestra, commands attention for its unusual ground plan: the variations proceed from complex textures to simple ones. Analysis reveals how certain melodic and harmonic details unfold at larger structural levels. Istar's symmetries and organic construction are set in the context not only of previous variation sets but also of Debussy's Prélude à l'après-midi d'un faune , a symphonic poem of similar dimensions that was premiered shortly before d'Indy composed his piece. Resemblances between the two works suggest that d'Indy may have intended Istar as a response to Debussy. Juxtaposition of Debussy and d'Indy provides insight into the different connotations of modernity at the fin de siècle. Istar's programme and compositional strategies reflect d'Indy's firm historicism and commitment to tradition. Yet the work was received as experimental and daring in its day. In its materials Istar paradoxically illustrates a ‘backward progression’: its stylistic allusions move backward in time, yet the tonal direction aims forward towards the concluding tonic. Such idiosyncrasies provide insight into d'Indy's aesthetics and ideology, which sought to conflate commitment to progress with adherence to Faith.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.008 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".