Bibliographic record
Abstract
Le guide Balades a velo a Montreal presente une vingtaine de balades thematiques sur deux roues pour decouvrir les differents visages de Montreal. D’une duree allant de deux heures a une journee complete, elles vous meneront dans de nombreux quartiers de la ville ou dans les environs de Montreal, mais toujours avec acces et sortie de l’ile en velo. Plusieurs des balades proposees peuvent s'effectuer en Bixi, ce velo disponible en libre-service dans 400 stations reparties dans differents quartiers montrealais. Montreal est une ville ideale a decouvrir en velo, et la culture de la bicyclette s’y developpe de plus en plus. Que vous soyez un cycliste debutant ou aguerri, un inconditionnel du velo ou un randonneur du dimanche, ce guide vous fera decouvrir Montreal sous des points de vue originaux et vous fera sortir des sentiers battus, mais aussi des pistes cyclables. Balades patrimoniales ou resolument urbaines, balades contemplatives ou plus sportives, dans tous les cas vous gouterez au charme et a l’art de vivre montrealais, guidon bien en main. Et pas question de course contre la montre! Le guide Balades a velo a Montreal propose des suggestions d’arrets gourmands et champetres tout le long des parcours, sans oublier la description des attraits et autres points d’interet a ne pas manquer en cours de route. Chaque circuit est egalement accompagne d’une carte et d’indications claires pour vous reperer facilement.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.121 | 0.017 |
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".