Bibliographic record
Abstract
Le Guide Ulysse Montreal est l'outil indispensable pour vivre Montreal intensement, gouter et participer a la creativite qui l'anime, et faire les meilleures trouvailles! Laissez-vous inspirer par les choix de ses auteurs pour explorer la ville en connaisseur et vivre le Montreal authentique. Muni du guide Ulysse Montreal, faites une pause nature dans l'un des splendides parcs de la ville et profitez de multiples suggestions d'activites a pratiquer en toute saison. Tres complet avec sa vingtaine de circuits de visite a travers les plus vibrants quartiers de la ville, ses nombreuses suggestions de sorties et d'activites, et sa cartographie precise et detaillee, il plaira autant aux visiteurs qu'aux Montrealais soucieux de connaitre les secrets les mieux gardes de la metropole quebecoise.Tous les charmants quartiers et splendides attraits de la ville sont couverts, depuis les rues etroites chargees d'histoire du Vieux-Montreal jusqu'aux ruelles fleuries du Plateau Mont-Royal. La section « A moi Montreal! » recense les sites incontournables a voir en fonction de vos interets ou du temps dont vous disposez, tandis que les capsules « Envie de... ? » proposent des arrets agreables a faire, du cafe convivial a la librairie de quartier. Les bonnes adresses fourmillent dans le guide Ulysse Montreal, dans lequel on trouve plus de 800 suggestions de bonnes tables, de lieux de sorties, de belles boutiques et d'etablissements hoteliers.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.571 | 0.362 |
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".