Algonquin Park : Ontario, Canada.
Bibliographic record
Abstract
PAKK WHEN the relentless summer sun beats down on the hot pavements of your noisy, dusty city, why not step through the gates of the northland into the cool green vastness of Algonquin Park, with its virgin forests, whispering pines, its hundreds of clear sparkling lakes and winding rivers?Why not, this year, get away from the crowds and the social whirl into the great big north woods, amid the northern lakes of Canada, and lead a real gypsy existence, fishing and paddling to your heart's content?You may rove from lake to lake as the spirit moves you, tramp the forest trails, climb the hardwood hills, explore islands, swim, loaf, and dream, and learn to know and understand the wild things of the forest.True, you will return to the work'a^day world bronzed like an Indian by the sun and the wind, but what matter that?Your muscles will be hard, your nerves calm and poised, and your eyes will sparkle like the northern waters; you will be full of energy and vigour and you will have acquired a store of happy memories to brighten the months that lie ahead.Algonquin Park is a vast forest and game reserve, comprising 2,721 square miles of magnificent forest, gorsc'covered crags and great rock masses flecked with gleaming copper and iron out'croppings, the entire area gemmed with 1,500 lakes of every conceivable shape and size, all connected by a labyrinth of winding rivers and streams, all unmarred by the inroads of exploitation and promotion.It was one of the first areas set aside by the Government of the Province of Ontario as a great natural playground for man, and sanctuary for wild life which here may pursue its way unmolested and unafraid.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.546 | 0.103 |
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".