Bibliographic record
Abstract
Voici un guide unique en son genre, une veritable invitation a decouvrir le patrimoine religieux varie de Montreal et ses environs. Grâce a une douzaine de circuits dans les divers quartiers de la ville, il vous revele les secrets d'un patrimoine d'une exceptionnelle richesse, sans egal en Amerique du Nord, qui fait de Montreal une destination de tourisme religieux de premier plan. S'adressant tout autant aux pelerins dont le voyage est avant tout motive par la foi qu'a ceux qui s'interessent a l'architecture, aux arts et a l'histoire, ce guide met en lumiere d'innombrables lieux de culte tels que sanctuaires, basiliques, cathedrales, eglises et temples de diverses confessions, sans oublier les cimetieres. Tout en couleurs et agremente de magnifiques photos, il met en valeur la richesse du patrimoine religieux montrealais, qu'il soit ancien ou moderne. Il reserve aussi une place a des exemples de reconversions reussies d'edifices autrefois utilises a des fins religieuses.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.053 | 0.005 |
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".