Federation of the Empire: An Address Before the University Literary Society
Bibliographic record
Abstract
It would be tedious to follow out all the fortunes of this humble address.Suffice it to say that Her Majesty never appointed a Royal Commission, and it has remained for us to do the work over again.Later still, it was my privilege to read a paper before this Society on " The Canadian Aspect of Imperial Federation," which gave rise to a debate extending over three Friday nights, and result- ed in a fourfold division of the members, among supporters of Imperial Federation, of the preservation of the present condition of things, of Independence, and of Annexation, the last receiving the support of one honourable member.In the discussions that took place on those occasions, the champions of the cause I shall attempt to lay before you this evening, laboured under a disadvan- tage.We were told that the English people cared nothing about Federation, and cared but little for their colonies ; that no English- man had ever broached a scheme that offered any inducement to the colonies to examine the question.Indeed it was asserted that our ideas were in antagonism to the professed principles of the leading public men in the mother country.We were told, more- over, that however strong our position might be regarding the sentiment of the people throughout the Empire, our arguments were less conclusive in dealing with the material interests of the people
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.005 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 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; 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".