Bibliographic record
Abstract
Hunger and Cold. Journeys to a Horrible North This book examines a range of Arctic histories as narrative forms of telling and retelling. Most of the material – texts, images and a film – builds on the Romantic concept of the Arctic sublime. The methodological framework is that of artistic research. The concept of polarlore and themes such as a failed journey and bad food are explored from Fridtjof Nansen’s works from the 1890s and Vilhjalmur Stefansson’s books and statements from the 1920s. These are read in parallel with texts such as the travelogue of the Sami expedition member Samuel Balto and the diary of the Inuit seamstress Ada Blackjack, an original counterpoint to the male narratives of the North. Other topics include the new Arctic sublime of the 1930s as depicted in the film S.O.S. Eisberg by Arnold Fanck and in contemporary Soviet narratives of the rescue of the comrades from the sunken steamship Chelyuskin. Hunger and Cold juxtaposes new findings with critical discourses of arcticality and arcticism.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.022 | 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".