Bibliographic record
Abstract
Visitors to the Arctic enter places that have been traditionally imagined as otherworldly. This strangeness fascinated audiences in nineteenth-century Britain when the idea of the heroic explorer voyaging through unmapped zones reached its zenith. The Spectral Arctic re-thinks our understanding of Arctic exploration by paying attention to the importance of dreams and ghosts in the quest for the Northwest Passage. \n \nThe narratives of Arctic exploration that we are all familiar with today are just the tip of the iceberg: they disguise a great mass of mysterious and dimly lit stories beneath the surface. In contrast to oft-told tales of heroism and disaster, this book reveals the hidden stories of dreaming and haunted explorers, of frozen mummies, of rescue balloons, visits to Inuit shamans, and of the entranced female clairvoyants who travelled to the Arctic in search of John Franklin’s lost expedition. Through new readings of archival documents, exploration narratives, and fictional texts, these spectral stories reflect the complex ways that men and women actually thought about the far North in the past. This revisionist historical account allows us to make sense of current cultural and political concerns in the Canadian Arctic about the location of Franklin’s ships.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.025 | 0.006 |
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".