Bibliographic record
Abstract
In September 1867, a few short months after the formation of the Dominion of Canada, voters went to the polls for the inaugural election to affirm that the new government was answerable to the people. The outcome was chaotic, sometimes violent, and left no doubt that the new democracy was going to be a noisy one. In Ballots and Brawls , the first book dedicated solely to the 1867 election, Patrice Dutil offers readers a region-by-region look at the summer of that year, concluding with a close examination of the election results. Citizens battled over issues of economic progress, taxation, and defence, while fights at the local level pitted English against French, Protestants against Catholics, and regionalists against nationalists. Dutil’s account captures the drama and outright violence at the polls, and provides an engrossing introduction to the shared ideals, disparate interests, and big personalities involved. Drawing together archival research, newspaper accounts, and a thorough review of the results at the polls, Dutil delivers an engaging and detailed look at the election that started the country.
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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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; a candidate call from one teacher head, 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".