Bibliographic record
Abstract
TO THE EDITOR OF THE “DAILY NEWS.” S ir ,—The burden of defending Canada begins to be felt, and it is urgently demanded that the Colonists shall pay a share of their own military expenses. Why should not these free Communities pay the whole of their own military expenses? They have received the full powers of self-government, why should they not undertake the full duty of self-defence? They enjoy all the substantial attributes of nationality, why should they not bear the same burdens as other nations? If this is the reason of the matter, our people will see in course of time that it is, and at length they will require that it shall be done. There are no Marquises of Westminster in the Colonies, but the Colonists, on the whole, are far better off than the mass of the people in this country, and they have no national debt on their shoulders. To tax our people for their defence is injustice. Once grasp this solid fact, and chimeras pass away. If rulers could but see it, plain justice comes first, doubtful objects of sentiment must come after. When Government is made to shew a case not of sentiment but of necessity for every tax, there will be some chance of a sound fiscal system.
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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.039 | 0.005 |
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".