Bibliographic record
Abstract
Grâce au guide On va ou aujourd’hui?, vous etes en vacances des que vous avez un peu de temps libre, et ce, sans avoir a parcourir des centaines de kilometres. Ce guide presente 150 excursions a petits prix a Montreal et dans ses environs, dont plusieurs accessibles en transports en commun, sur l’ile de Montreal, l’ile Jesus, dans les regions des Laurentides, de Lanaudiere, de l’Outaouais, de la Monteregie et des Cantons-de-l’Est. On y trouve des idees de sorties pour toutes les saisons, beau temps, mauvais temps. Escapades nature en famille, voyages tout pres de chez soi pour pas cher, activites hors des sentiers battus, les propositions abondent! Un carnet pratique accompagne chacun des endroits suggeres, avec tout ce qu’il y a a savoir pour s’y rendre, les tarifs, les horaires et les couts pour la location d’equipement. Ce guide comprend aussi de nombreuses cartes pour reperer en un clin d’œil les lieux proposes et s’y rendre sans detour.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.007 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.073 | 0.008 |
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".