Pourquoi l'on doit voter contre la prohibition jeudi, le 29 septembre 1898. N.B.
Bibliographic record
Abstract
Qu'est-ce que le Plbiscite ?Le peuple canadien sera appel JEUDI, LE 29 SEPTEMBRE COURANT, le jour de la St-Michel, se prononcer sur la question de la prohibition, c'est--dire dclarer s'il entend que la fabrication, l'importation, la vente, enfin le trafic gnral des liqueurs soient dfendus ou non dans notre pays.Le Gouvernement Fdral n'a dcid de tenir cette consultation populaire qu' la demande expresse de la secte des buveurs d'eau d'Ontario qui affirment que tout le pays pense comme eux.Mais le gouvernement ne/ prend fait et cause pour aucun ct et laisse chacun voter comme il l'en-| tendra.Libraux et conservateurs peuvent voter leur guise.Les intrt de parti ne sont pas en jeu.Voici la question qui sera soumise aux contribuables, JEUDI, le 29 Septembre courant: OUI. NON.Etes-vous favorable la passation d'une loi d- fendant l'importation, la fabrication ou la vente de \/
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".