Dominion of Canada. The province of Manitoba and North-West Territory.
Bibliographic record
Abstract
prairies and unexplored North-West, and learnt as by an unexpected re- " velation, that her historical territories of the Canadas, her eastern seaboards *' of New-Brunswick, Labrador and Nova Scotia ; her Laurentian lakes and tl valleys, corn lands and pastures, though themselves more extensive than u half a dozen European kingdoms, were but the vestibules and antecham- u bers to that till then undreamt of Dominion, whose illimitable dimensions " alike confound the arithmetic of the surveyor and the verification of the u explorer." It was hence that, counting her past achievements as but the preface '" and prelude to her future exertions and expanding destinies, she took a 4t fresh departure, received the afflatus of a more imperial inspiration, and u felt herself no longer a mere settler along the banks of a single river, but u the owner of half a continent, and in the magnitude of her possession, in " the wealth of her resources, in the sinews of her material might, the peer 41 of any power on the earth.(Loud applause.)"Lord Dufferin, in using this language, indulged in no exaggeration.On the contrary, he rather under than overstated the thoughts which naturally crowded on his mind.II. CLIMATE.The climate of Manitoba gives the conditions of decided warmth in summer and decided cold, in winter.The summer mean is 67 ° 76', which is about the same as that of the state of New York.In winter the ther- mometer sinks to 30 and 40 degrees below zero 5 but the universal testimony of settlers is, that this degree of cold, which is accompanied by a very ^bright and dry atmosphere, is productive of much less unpleasant sensations, than the higher temperature of winter accompanied with humidity which is found on the eastern face of the continent.The winrer drawback is the occurrence sometimes, but not very frequently, of sudden storms of wind and snow, called by the inhabitants " blizzards."Many settlers from the older parts of Canada who have gone to live in Manitoba have expressed their preference for its climate.They find it more pleasant.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.127 | 0.016 |
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".