Interfaces gestuelles
Bibliographic record
Abstract
Des aspects éphémères, tels que le geste et le son, sont généralement négligés dans l’examen des objets matériels archéologiques, en particulier les aérophones. Malgré de vastes collections d’instruments sonores récupérés dans la région archéologique de la Grande Nicoya associée à la période Tempisque (de l’an 500 avant J.-C. à l’an 300 après J.-C.), nous savons peu de choses sur la façon dont les communautés produisaient et expérimentaient le son. Ma recherche comprend une analyse détaillée de la fabrication et de l’utilisation possible d’instruments sonores et met en évidence une gamme d’interfaces gestuelles (ergonomiques, interprétatives et sensorielles). Elle cherche à contribuer à notre compréhension de traditions de longue date en matière de performance et à explorer les interactions potentielles entre les humains et les objets au sein des communautés anciennes de la Grande Nicoya.
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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.081 | 0.025 |
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".