Review Essay: Changes in the Attribution of Values to Northern and Arctic Spaces
Bibliographic record
Abstract
Review of: Silje Gaupseth, Marie-Theres Feerhofer & Per Pippin Aspaas (eds.), Travels in the North, Hannover: Wehrhahn Verlag 2013, Troll Band 13, Tromsø Studien zur Kulturwissenschaft, ISBN 9783865253347, 230 pp.;John McCannon, A History of the Arctic. Nature, Exploration and Exploitation, London: Reaktion Books Ltd. 2012, ISBN 9781780230184, 349 pp.; Martin Breum, Når isen forsvinder. Danmark som stormagt i Arktis, Grønlands rigdomme og kampen om Nordpolen, København: Gyldendal 2013, ISBN 9788702138023, 316 pp.;Barry Scott Zellen (ed.), The Fast-Changing Arctic. Rethinking Arctic Security for a Warmer World, Calgary: University of Calgary Press 2013, ISSN 1701-0004; co-published by the Arctic Institue of America, ISBN 97815523-6460, 395 pp.; Miyase Christensen, Annika E. Nilsson & Nina Wombs, Media and the Politics of Arctic Climate Change. When the Ice Breaks, Houndmills, Basingstoke, Hampshire UK: Palgrave Macmillan 2013, ISBN 9781137266224, 182 pp.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".