Bibliographic record
Abstract
Le Guide de survie des Europeens a Montreal revele ce que personne n'a jamais ose avouer sur l'immigration au Quebec, la poutine, les banques, les taxes, la meteo, les pieds carres, les castors, les Quebecoises et les Quebecois... Si vous songez a immigrer au Canada ou si vous envisagez passer un an au Canada, vous devez lire ce livre! L'auteur Hubert Mansion, survivant d'origine europeenne lui-meme, y commente avec beaucoup d'humour tous les aspects de la vie montrealaise a l'aide d'innombrables anecdotes vecues. Il propose un portrait amusant de la metropole du Quebec, avec ses qualites et ses travers, dedramatisant au passage toutes les situations auxquelles devra tot ou tard faire face tout nouvel arrivant a Montreal, tout nouvel immigrant au Quebec. L'immigration canadienne n'aura plus de secret pour vous! Les etudiants, pvtistes, detenteurs d'un visa vacances travail ou PVT Canada, y trouveront aussi une mine d'informations sur la vie a Montreal et au Quebec. De tous les guides sur Montreal, voila l'ouvrage le plus drole, polemique et documente. Resolument pratique et debordant de bons plans et de bons conseils, le Guide de survie des Europeens a Montreal permet aux immigrants de s'installer a Montreal en toute quietude. Il s'agit du guide essentiel pour les etudiants europeens qui poursuivent leurs etudes dans un cegep ou dans une universite montrealaise, pour les travailleurs qui viennent tâter le marche du travail quebecois ou encore pour les vacanciers qui tombent amoureux de Montreal et qui optent pour un long sejour dans la metropole quebecoise.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.166 | 0.053 |
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".