www.mjdarchitecte.com FS02 Côte-de-Beaupré: Conservation of Religious Heritage along a Historical axis FIELD SESSION DESCRIPTION
Bibliographic record
Abstract
Enjoy the beauty of the superb landscapes along the Côte de Beaupré (Beaupré Coast) as you follow this historic itinerary along the avenue Royale to Cap-Tourmente. Appreciate the important religious heritage in this area and discuss the restoration of the Église de la nativité de Notre Dame (in Beauport) with architect Marie-Josée Deschênes who participated in the project. Then, along the chemin Royale (Royal Road), view the landscapes of the Beaupré Coast with a focus on the omnipresent religious heritage of the area (churches, processional chapels, presbyteries, roadside crosses, Basilica, the Seminary’s farms…) and learn about the history of the region. Your field session will end at Cap-Tourmente, with a visit of the historic buildings of the farms of the Seminary of Quebec. M. Pierre Gaudin will present the ongoing project at La Grande Ferme and Mr. Antoine L’italien-Savard will discuss restoration projects at the petite ferme and the maison des français. 1. Learn about the challenges of restoring a church when religious fervor is in decline and dwindling congregations lack the funds necessary to maintain their buildings. 2. Learn about the system of land division which characterizes the Quebec countryside, the organization of hamlets along an historic axis and the choice locations linked with the church. 3. Discover the jewels of sacred art along the Beaupré Coast and their strong relationship with architecture. 4. Learn about the issues involved in adapting a building to the requirements and norms of today, when it
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.771 | 0.296 |
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".