Results of five years Grit-Rouge rule in Canada : the Pacific railway - Grits out of and in office contrasted -- an American policy.
Bibliographic record
Abstract
The Pacific Railway-Grits cut of and in Office con- trasted-An American Policy.The most important work that the Do- minion of Canada has on hand, at this moment, is the construction of the Pacific Railway.Whatever differences of opinion may exist now in relation to the import ance of that work, we have undoubted ev.dence that the party represented in the Government of the day were strongly in favor of it betore they took ottice.The Globe is in its politics more than a mere newspaper.It is not simply the organ of the adminis- tration and of the party whoso views it is supposed to represent, it, in fact, furnishes the policy for both.Under these circumstances, having regard to the fact that the Globe and the Clear Grits have always thought alike, we do no violence to the latter in holding them responsible for the measures ad- vocated by the former.
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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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.014 | 0.004 |
| Scholarly communication | 0.007 | 0.001 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.009 | 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; 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".