To the far famed Saguenay River ... the only line to the sea-side resorts on the lower St. Lawrence and to the world-renowned Saguenay River!.
Bibliographic record
Abstract
Whatever may be said of the other great rivers of the world, all travelers agree that, for grandeur and majesty, none can approach the St. Lawrence.Why, it is a world itself !Including the lakes which naturally belong to this river, it possesses a coast line of over six thousand miles, the cities, towns and villages upon whose borders are counted by hundreds, and the vessels of all classes navigating its waters by thousands.In contemplating the inland seas which feed it, the senses are bewildered at their immensity.in Niagara is exhibited the terrific and sublime to an extent not to be found elsewhere.The same water which leaps over the cataract, after reposing in Ontario's basin, glides past Kingston and through the " Thousand Islands," and once again becomes turbulent in " The Rapids."In these, while dashing headlong forward, the imagination may make a faint attempt at estimating the strength and velocity of the current, as, shooting past an island or a village, the eye has just time to see it approaching ahead, and to catch a last view of it astern, revealing another feature of this noble river.The Lakes, the Thousand Islands and the Rapids being passed, the mind is allowed to contemplate the calm and peaceful, as the placid waters flow past the many villages and towns betweep Montreal and Quebec, unbroken by rapid or other impedi- ment.Grand and interesting though all these scenes may be, they are as nothing compared to what lies before the tourist going farther down.And to SEE the St.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.014 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.075 | 0.013 |
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".