Bibliographic record
Abstract
Vilhjalmur Stefansson has long been known for his groundbreaking work as an anthropologist and expert on Arctic peoples. His three expeditions to the Canadian Arctic in the early 1900s, as well as his expertise in northern anthropology, helped create his public image as an heroic, Hemingway-esque figure in the annals of twentieth-century exploration. But the emotional and private life of Stefansson the man have remained hidden, until now. New evidence of this other life has recently been discovered: a collection of love letters between Stefansson and his fiance Orpha Cecil Smith were found in a New Hampshire flea market; Stefansson's field diaries have revealed elegant essays and insightful commentary on Inupiat society; baptismal records have revealed that Stefansson had a son, Alex, with his informant and guide, Fanny Pannigabluk; and through Web searches and a private detective, Palsson found and conducted interviews with the descendents of both Cecil Smith and Alex Stefansson. Travelling Passions sheds new light on Stefanssonís life and work, focussing on the tension between his private life and the theories that brought his name to the halls of fame. Palsson draws a clear, vivid, and in many ways unexpected picture of the mythical figure of Stefansson.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.009 | 0.004 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.090 | 0.033 |
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".