Bibliographic record
Abstract
Townsend's ' In Audubon's Labrador.' •-Dr.Townsend has written so many interesting accounts of the life and natural history of the Labrador coast that we have come to associate his name instinctively with the wild, rugged north-land which he so delights to tell us about.To those who are familiar with his previous books the announcement of another volume will mean another treat in store for them.The volume in question however, has an added charm in the fact that the course of the writer on this trip followed that of Audubon on his famous voyage of 1833.Stops were made at the same points, the same localities were visited, the same birds were studied and in several instances descendants of the very people whom Audubon visited were met with.The first chapter gives a brief resum• of Audubon's trip, with appropriate quotations from his diary and some account of the men who were associated with him.Then follows the narrative of the voyage of Dr. Tdwnsend and his companion Mr. Harold St. John, the botanist, from Natashquan •o Blanc Sablon, while two chapters on the conservation of wild life in Labrador, and on the protection of the Eider, the latter of which appeared originally in ' The Auk ' for 1904, complete the main text of the volume.There is however an appendix consisting of letters from George C. Shadtuck, Jr., who accompanied Audubon, from his father, from B. Lincoln, brother of another member of the party, and from Audubon himself, all of which relate to the famous expedition.Dr. Townsend•s narrative is written in a delightful style giving one a vivid picture of the country and its inhabitants, while the pages teem with ornithological matter including many original observations on bird habits.The illustrations are half-tone reproductions of photographs of localities, general scenery, birds and plants as well as portraits of many of the persons mentioned in the text.A map of the coast of Labrador with the routes of the two expeditions recalls to mind the comparatively small portion of •he coast which Audubon visited, and the fact tha• it lay entirely on the southern side of the peninsula bordering on the Straits of Belle Isle and the Gulf of St. Lawrence.A good index completes this attractive volume.--W.S. Pearson's ' Tales from Birdland.' 2_ With the constantly increasing interest in bird study there is a steady demand for bird books, not only for the advanced student, bu• for the little folks as well, and probably there is no better way to arouse a lasting interest in birds in the child than to tel/ him stories which are woven about the personality of some imaginary bird hero.As a contribution to this class of bird books Mr. Pearson has just • In Audubon's Labrador.
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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 | 0.005 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.026 | 0.007 |
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".