« Acquérir un savoir sur le terrain plutôt qu’à l’école exclusivement ». Entretien avec Rachel Bouvet
Bibliographic record
Abstract
For Rachel Bouvet, literary studies are reinvented through contact with other disciplines: geography, for a geopoetic approach to texts, but also the life sciences, for a global approach to plants. More broadly, it is through movement, exploration and encounters with otherness that the researcher intends to bring literary research and creation into dialogue. Rachel Bouvet is a professor in the Department of Literary Studies at the Université du Québec à Montréal. She first worked on spaces and places in literature as part of a geopoetic approach, before turning her attention to the relationship between literature and botany. She co-founded La Traversée - Atelier de géopoétique, as well as GRIVE (Groupe de recherche interdisciplinaire sur le végétal et l'environnement). With Stéphanie Posthumus, she co-directed the volume Mouvantes et émouvantes. Les plantes à travers le récit (Presses universitaires de Montréal, 2024).
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".