The Woman Who Mapped Labrador: The Life and Expedition Diary of Mina Hubbard, by Roberta Buchanan, Anne Hart and Bryan Greene
Bibliographic record
Abstract
Between June and August 1905, Mina Benson Hubbard and four indigenous guides undertook an arduous canoeing expedition from the community of North West River to the Hudson's Bay Company post at Ungava Bay by way of Knight of the Iron Cross, and rose to the rank of Leutnant (Second Lieutenant).He died at his home in Frankfurt on 12 May 1931, having just completed the manuscript of his book, which would lie unpublished for 74 years.Dr. Frank Berger is to be commended for publishing this important manuscript.Lerner's book throws interesting new sidelights on many important events in the history of Svalbard that were already quite well documented, such as Andrée's and Wellman's attempts at flying to the North Pole, the Helgoland expedition, and the search for Schröder-Stranz.In other cases, e.g., his attempts at establishing coal-mining on Björnöya, his wintering with Johansen at Bohemannesset, and their sledge trip across Spitsbergen to Danskøya, his account provides the first details of events.By including footnotes and a biographical sketch of Lerner, as well as a fine selection of over 75 photos and a number of maps, Dr. Berger has greatly enhanced Lerner's original manuscript.In short, this book is a valuable addition to the literature on the history of Svalbard.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.015 | 0.004 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".