Bibliographic record
Abstract
Les provinces maritimes canadiennes, soit le Nouveau-Brunswick, la Nouvelle-Ecosse et l'Ile-du-Prince-Edouard, forment une region pittoresque qui conjugue la splendeur de milliers de kilometres de paysages cotiers a de riches traditions locales et a un art de vivre fascinant. Il y a, dans ces provinces, certains des plus beaux sites naturels de l'est du continent americain. Ce coin de pays, c'est aussi celui des Acadiens, peuple chaleureux et courageux qui, malgre les affres de l'histoire, reste fidelement attache a ses origines francaises. Le guide Ulysse Provinces maritimes du Canada, le plus complet a couvrir ces provinces, decrit, dans une dynamique mise en page en couleurs agrementee de splendide photographies, tous les attraits incontournables en plus de proposer d'innombrables suggestions de lieux d'hebergement, de sorties et de restaurants ou deguster les meilleures specialites locales. Les activites de plein air y occupent aussi une place de choix. Le tout accompagne par une trentaine de cartes tres precises pour mieux y organiser ses deplacements et decouvertes.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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; both teacher heads agree on what is shown here.
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".