Thesaurus multilingue des Arts de la scène (version 1)
Bibliographic record
Abstract
This PDF file presents a prototype of a multilingual thesaurus dedicated to the performing arts, developed using the Opentheso platform (IR* HumaNum), an open-source and collaborative tool for managing controlled vocabularies.This work was carried out within the framework of two interdisciplinary and international research projects: THEATRALIA, a working group supported by DARIAH-EU, the European infrastructure for digital humanities, and PERFORMA, a research program funded by the Institut des Amériques, focused on the study of the Americas.The thesaurus aims to provide a coherent and standardized structure of concepts related to the performing arts (theatre, dance, performance, circus arts, etc.) in several languages, including French, English, Spanish, Portuguese, indonesian and croatian. It is designed to facilitate the description, indexing, and interoperability of documentary and archival resources, to support multilingual database research, and to contribute to the valorization of intangible cultural heritage in scientific, cultural, and digital contexts.This prototype represents an exploratory step toward the development of a shared and evolving tool, open to contributions from research communities and professionals in the field.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.128 | 0.069 |
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".