The theatre, (art) and science: between amazement and applause!
Bibliographic record
Abstract
There have been countless innovations in the realm of science museology after the foundation of the Exploratorium of San Francisco and of the Ontario Science Center of Toronto with, among other things, the introduction of the exhibits hands-on, the use of new technologies and the arrival of virtuality.But most of all a new dialogue was launched, also as a form of transformation of reality. And what is drama but fiction and transformation of reality?This statement is the basis for the belief that museums and the theatre should continue, if not even start, a path to move closer, so as to make their languages work at the service of each other.A dialogical interaction which is difficult (as both languages and their interpreters crave for superiority), strong (the place for communication becomes multi-channel), but necessary (in view of a systemic approach of science communication).It is necessary especially to build an all-encompassing museum to fully play a sociological role of study, interpretation and determination of human society.
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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.029 |
| Scholarly communication | 0.020 | 0.018 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.017 | 0.003 |
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".