Bibliographic record
Abstract
INTRODUCTION BRIEF HISTORY OF POLAR EXPLORATION Heading North Explorers and Survivors Far South In Search of the North-West Passage Catastrophe in Canada Stuck in the Ice Imperial Ambitions Scandinavian Ascendancy Race to the Poles Shackleton's Expedition Writing on Ice PART ONE MAKING HOME Medieval Norse Sagas and the Pagan Prophetess II Full of Fruit: Hans Egede's Greenland III Secret Runes: Searching for the Colonists 1800-2000 PART TWO THE LONG DARK NIGHT IV Sir William Edward Parry: The Utmost Regularity and Good Order Our New Acquaintance V Comforts and Good Cheer: Nansen Goes North Happy Ship Nothing to Write About VI I Dread Getting Up: Richard Byrd Alone in the Antarctic Great Waves of Fear PART THREE THE BITTER END VII They are an Epic: Robert Falcon Scott and the South Pole Wearisome Return The Poor Soldier Has Become a Terrible Hindrance We Will Not at This Moment Raise the Question VIII Ballooning to the North Pole: Andree Expedition Raw Brain and Algae Soup IX Eating Each Other: Adolphus Greely's Three Years of Arctic Service A Stern and Frightful Reality PART FOUR VISITING THE DEAD X A Fate as Terrible as the Imagination Can Conceive: Sir John Franklin's Last Expedition A Mere Accumulation of Dead Weight XI Interrupting His Cold Sleep: John Torrington A Curious and Solemn Scene XII Arctic Arsenic: Charles Francis Hall and the Search for Franklin Death on the Polaris PART FIVE WOMEN AT THE POLES XIII Babies in Hudson's Bay: Letters of Letitia Hargrave XIV My Antarctic Honeymoon: Jennie Darlington in Antarctica Dog's Life XV Arctic Nurse: Mills and Boon Go North XVI Fairyland of the Arctic: Isobel Wylie Hutchison in Greenland PART SIX ENGLISH LITERATURE ON ICE XVII Loud Misrule: Arctic Imagery in English Poetry Melting the Ice: John Donne and James Thomson at the North Pole Hell Freezes Over: Frankenstein and the Albatross XVIII Dicsovered by Pooh: Children's Fiction Goes to the Poles Parodying the Poles: Snark and Pooh take on Franklin and Scott Ice Maidens and Snow Queens EPILOGUE THE END OF THE ROAD FURTHER READING
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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 | 0.004 | 0.008 |
| Science and technology studies | 0.011 | 0.010 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.023 | 0.002 |
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".