Bibliographic record
Abstract
In 1860, Charles Francis Hall sailed north in an attempt to reach King William Island in a bold attempt to solve the mystery of the Franklin expedition. During this expedition, and for most of his remaining life, Hall was accompanied by Tookoolito ("Hannah") and her husband Ebierbing ("Joe"). After spending two years on Baffin Island, Hall and his Inuit companions returned to the United States, where Hall set out to raise funds for a second expedition in search of the Franklin expedition. After five long years searching for survivors from, or information about the Franklin expedition, a frustrated Hall returned to the States in August 1869, again accompanied by Tookoolito and Ebierbing. And as before, the Inuit couple served as goodwill ambassadors and entertained thousands, including the President and Vice-President of the United States and several members of Congress. This publicity campaign was so successful that in July 1871, the Polaris sailed in an effort to reach the North Pole by sea. On November 8 of that year,Hall died under mysterious circumstances. This did not end the contributions of Tookoolito and Ebierbing to Arctic exploration, as they helped a party of 19 who had become separated from the Polaris survive for six wintry months.
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 | 0.010 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.047 | 0.014 |
| Scholarly communication | 0.013 | 0.006 |
| Open science | 0.004 | 0.011 |
| Research integrity | 0.004 | 0.010 |
| Insufficient payload (model declined to judge) | 0.006 | 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".