Bibliographic record
Abstract
The dramatic silhouette of the Chateau Frontenac dominates the Old City. It is, indeed, the symbol of Quebec. This field session begins with a walking tour which will reveal the fascinating mix of architectural influences that characterize this historic city which first served as capital of New France and then capital of British North America. You will then have an in-depth visit of the Chateau Frontenac. Perhaps the most famous building in Canada, this great hotel, which first opened its doors in 1893, has hosted many Kings, Queen’s and Heads of State. Its greatest moment of glory was when Churchill and Roosevelt met there in 1943 and 1944 to plan their strategies during World War II. With its circular and polygonal turrets, massive towers, gable roof and dormer windows, the architecture of the Chateau Frontenac is inspired by that of French chateaux. But behind the exterior of this imposing edifice of brick and stone is hidden a structure of steel. This structure imposes many technical challenges. Over the years, numerous interventions, restoration, and renovation projects have been carried out, including work on the envelope, structure and roofs. This visit will help you to understand the historic, architectural and technical context in which the architecture of the Chateau Frontenac has evolved over the years.
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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.662 | 0.294 |
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".