Beyond the imaginary gates : journeys in the fjord region of north-east Greenland
Bibliographic record
Abstract
There are now precious few places left on earth with which we do not feel familiar, if not from first hand experience then at least from the perspective of the armchair traveller - and fewer still where the camera has not yet prescribed our vision. An unrivalled collection of images of one of the last unsullied wildernesses in the world: the vast, uninhabited spaces of north-east Greenland. These beautiful, majestic and poetic landscapes exist in one of the harshest environments on earth. Roy traces the historical background with a brief outline of Greenland's early exploration. He documents the poignant traces of the Inuit tribe - their winter houses, summer tent circles and graves and enigmatic stone mosaics - and the structures left by the European trappers who once plied their dog-sledges in the lonely fjords. Iain Roy's first expedition to Greenland was in 1982, to the mountainous region of the south near Cape Farewell. He was a member of a small group of Arctic enthusiasts who shared a love of wild spaces and whose ambitions were fuelled by the accounts of earlier pioneers - early whaling and expedition journals and memoirs of scientists and trappers from the pre-war period. The group pooled their resources in order to reach remote corners of a faraway region that had become their common obsession. Roy himself has since made ten expeditions to the region.
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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 | 0.000 | 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 | 0.016 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".