Bibliographic record
Abstract
Longtemps considéré comme un point de vue sur la nature qui s'offre à l'observateur, le paysage est devenu de nos jours le point sensible de nos milieux de vie. Au sein de notre modernité exacerbée, il suscite des perspectives qui dépassent désormais la simple émotion esthétique et qui informent plutôt les grands dossiers de l'aménagement du territoire au Québec. Le présent ouvrage s'inscrit directement dans cette actualité et propose une analyse des principaux enjeux auxquels font face les spécialistes en paysage et en environnement. Les contributions des auteurs présentent une conception contemporaine du paysage, à la fois ouverte et multiple. Chaque réflexion exprime la nécessité de concevoir le paysage comme bien collectif d'une société qui doit elle-même assurer sa mise en valeur et son invention grâce à un large éventail de perspectives et de projets.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.013 | 0.011 |
| Open science | 0.014 | 0.008 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.237 | 0.001 |
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; both teacher heads agree on what is shown here.
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".