Bibliographic record
Abstract
Parce que le mot «ecologie» est devenu un mantra bienfaisant et hautement inspirant, ce livre plein de promesses, accessible a tous, offre une multitude d’informations vertes et un carnet d’adresses incontournables des meilleurs endroits a Montreal grâce a cinq chapitres aussi varies qu’interconnectes: alimentation, bien-etre et forme, cosmetiques, mode et maison ecologiques. Le guide Beau, belle et bio a Montreal vous fournit une mine d’idees, d’astuces, de reflexions, de recettes vitaminees pour la peau et le corps, de techniques de relaxation et d’activites qui font autant de bien a la chair qu’a l’esprit; de solutions pour etre bien chez soi et des precisions sur la mode ecocitoyenne pour concilier concretement beaute, vitalite et equilibre, tout en consommant autrement sans abimer la planete. Suivez le guide...100% montrealais.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".