Mise en place de circuits touristiques thématiques pour le parc du Mont-Bellevue, basés sur un inventaire des attraits naturels et anthropiques
Bibliographic record
Abstract
The changing point of views on values linked to the importance now to protect, preserve and promote natural and cultural heritage influence the quality of life environment in which the man evolves. It has directly an influence on lifestyle, more specific on leisure and touristic activities.The general objective of this Master Thesis is to preserve, protect and promote the Mont- Bellevue Park, located at Sherbrooke (Quebec) by applying Sustainable Development Principles. This urban green park has a big area (197 hectares). Indeed, the ecotouristic development propositions applies values and criteria of Sustainable Development. Furthermore, this Master Thesis answers to a lack of studies on the characterization of the natural and human environment of the Mont-Bellevue Park. For Sherbrooke City, the Mont-Bellevue Park represents a green, infrastructure having an environmental, ecological, social and economic usefulness. It is on this notion of Sustainable City Development that is part of the Sustainable Development Concept, that the research hypothesis is based.The Master Thesis integrates a large range of investigations based on human, physical and biophysical data. Mainly, human data come from a research by written questionnaire and interviews to know Mont-Bellevue Park users habits. Physical and biophysical data were acquired by field investigation, photo-interpretation and thematic maps analysis.The treatment and the analysis of these data identify and localize the information that were presented, organized and synthesised by thematic maps. These data were combined with a sustainable criteria base to map potential sites that can be developed (by thematic attractions) and protected in the Park. A Sustainable Development Concept of the sites was elaborated to emphasize the natural and anthropological attractions of the area.The application of Sustainable Development Principles allows respecting the integrity of the natural environment while meeting the needs and the expectations of Mont-Bellevue Park users and visitors. To give access to these sites, we proposed varieties of thematic circuits plans that connect these sites.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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; 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".