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.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".