Speech of the Honorable A. M. Ross, treasurer of the Province of Ontario, delivered on the 13th February, 1890, in the Legislative Assembly of Ontario.
Bibliographic record
Abstract
Mr. Speaker, -In making the customary motion to go into Committee of Supply, I shall without preface proceed to present to the House a brief business statement of the transactions of the past year, the financial position of the Province at the close of 1889, and our estimates of receipts and expenditure for the present year.In doing so I shall follow the usual order which for some years past has been found the most con- venient.First, taking up the receipts for the past year, hon.members will find placed in their hands, as has been the custom for some years past, detailed 291460 H-lt> FINANCIAL STATEMENT OF statements shewing all the receipts and expenditures for the past and the coming year.I believe the Press Gallery has also been supplied with these statements, and I think that it might perhaps be as well, to save the infliction of a tedious recital of all these figures, if I assume when I come to them, that they have been read, and afterwards proceed to make such comments upon them as occasion may require.First, then, I will present the receipts for the past year.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.096 | 0.026 |
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".