Bibliographic record
Abstract
Le Quebec a moto, redige par deux motocyclistes aguerries, propose une soixantaine d'itineraires de courte ou longue duree pour un voyage a moto au Quebec, incluant trois circuits qui se rendent jusque dans le nord-est des Etats-Unis. Le guide Le Quebec a moto, maintenant entierement en couleurs, vous fait emprunter tantot de sympathiques routes secondaires, tantot de pittoresques chemins de campagne. On y presente des suggestions de haltes pour les visites, les repas et parfois l'hebergement, tandis que des cartes regionales et des presentations schematiques de chaque balade permettent de vous orienter en un clin d'oeil et de profiter au mieux de votre escapade de mototourisme! Vous y trouverez egalement un carnet de bord pour noter les temps forts de vos virees a moto, ainsi que tout ce qu'il faut savoir sur la securite, la preparation des excursions, l'equipement et l'historique de la pratique de la moto au Quebec. Le guide comprend egalement un carnet de services detaille, incluant les coordonnees des concessionnaires de motocyclettes des differentes regions. Le guide ideal pour la randonnee a moto au Quebec!
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.263 | 0.060 |
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".