Bibliographic record
Abstract
The contents of a set of undated, handwritten notebooks by Balinese musician Gusti Putu Madé Geria (1906-83) are first assessed in historical perspective.He was in effect the first Balinese musicologist, but his work evokes older anonymous lontar (palm leaf manuscripts) of Balinese scribes, themselves heir to traditions of Hindu-Buddhist thought.Some of his descriptions of instruments and ensembles mimic the discourse of high priests and invoke unseen worlds.I will briefly consider their relationship to specific lontar and to Tantrism (Bandem 1986, Becker 1993).Geria'a analytical thinking dwells in a network of ideas bridging his precolonial umwelt with an inchoate Indonesian modernity.He invented a witty cornucopia of terms in Balinese for instrument functions and melodic patterns where none previously existed in oral tradition.His lexicon is a product of his insight into particular linear-intervallic structures and their motile impulses.Geria in effect provides a theory enabling close readings of "classical" Balinese gamelan repertoires, which teem with these patterns.I introduce a selection of them, amplifying (and culturally decoding) Geria's classifications and notations with a more granular but, I aver, ethnographically relevant approach.The last part of the paper sorts Geria's terms by lexical field: the natural world, emotion or character, action and perception, and the unseen world.Finally I compare Geria's lexicon with my own published work on the same musical material, assessing the epistemological gaps within each and between the two.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.005 | 0.011 |
| Scholarly communication | 0.003 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 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".