Bibliographic record
Abstract
Cette note de terrain a été rédigée afin de témoigner du chemin parcouru tout au long du processus de création d’un opéra en réalité étendue (xr). L’intention est ici de décliner les différentes étapes du projet, de la préproduction à la postproduction, en expliquant le processus de création du livret, de la musique, de la scénographie et de la mise en scène. Nous y expliquerons tant nos choix esthétiques que les stratégies que nous avons adoptées afin d’en venir à un produit final. Nous en avons tiré plusieurs leçons qui, à notre avis, pourraient servir à ceux et celles qui voudraient tenter, comme nous, un déplacement entre les mondes scénique et virtuel. Il en ressort la nécessité d’une organisation du travail claire, d’une écriture intermédiale efficace, d’un apprentissage technique conséquent et d’une liberté d’ébranler les institutions par des choix non conventionnels.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 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".