La nature et les pratiques de la nature dans les montagnes canadiennes: le cas des parcs nationaux des montagnes de l'Ouest
Bibliographic record
Abstract
Les parcs nationaux Banff, Jasper, Yoho, Kootenay et Lacs Waterton dans les Rocheuses canadiennes (Alberta & Colombie Britannique) et ceux du Mont Revelstoke et des Glaciers (massif Selkirk) constituent un laboratoire d’analyse privilégié des pratiques de la nature dans l’Ouest canadien. Accueillant plus de 10 millions de visiteurs chaque année, ces parcs constituent la destination favorite de nombreux Canadiens et Américains de l’Ouest. À travers l’analyse des pratiques des visiteurs, la présente contribution s’interroge sur la manière dont ces derniers appréhendent la nature. Elle tente également de comprendre les voies par lesquelles les pratiques participent de la construction d’une nature en partie idéalisée. Cette nature n’apparaît en effet pas comme une donnée objective. Elle s’inscrit au contraire dans un processus où le construit sociétal s’appuie sur des médiateurs exogènes (peinture et photographie notamment) et sur une expérience de la nature (wilderness experience) qui permet la valorisation personnelle et collective de la nature au travers de l’espace parc.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.012 | 0.009 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 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 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".