Exposição “La Route de Soi”: entrevista com Philippe Dubé concedida a Nádia Maria Weber Santos
Bibliographic record
Abstract
Under the scientific direction of Catherine Bertho Lavenir (Sorbonne Nouvelle) and Philippe Dubé (Université Laval), this exhibition was created by a group of artists and museography professionals, with the direct contribution of Museology Masters students. It was an experimental exhibition based on the EXPOLAB of LAMIC (Museology and Culture Engineering Laboratory of Université Laval/Québec/Canada). The event organisers offered a rare opportunity to experience the travel journals of Anne-Marie Palardy, located in the Sagamie Archives in Saguenay (J.-E.-A. Duboc-Anne-Marie Palardy fonds muséal) and in the fonds muséal of the family Duboc, located in Pulperie de Chicoutimi. The final product was an exhibition in a highly technical room (EXPOLAB) with an area of 100 square metres which could receive a certain number of visitors in a certain time. This event is part of a formation process of patrimony valorisation (here, written archives) through means offered by today’s digital technology in the field of culture. Museology will have to deal with these new patrimonies and will need to find original means to valorise them. This experimental realisation allows the visitor to explore new ways which a museum does not always have time to do.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.012 | 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".