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Record W615528828 · doi:10.1017/cbo9781107281288

New Land

2014· book· en· W615528828 on OpenAlexaboutno aff
Otto Neumann Sverdrup

Bibliographic record

VenueCambridge University Press eBooks · 2014
Typebook
Languageen
FieldEnvironmental Science
TopicPolar Research and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsSverdrupCrewArcticIce capsThe arcticOceanographyGeologyGeographyPhysical geographyHistoryMeteorologyGlacierArchaeology

Abstract

fetched live from OpenAlex

This well-illustrated account of polar exploration was originally published in Norway in 1903, and in this two-volume English translation in 1904. It tells the story of the four years spent by Otto Sverdrup (1854–1930) and his crew in surveying and charting the seas and coastlines of the Arctic. Sverdrup had qualified as a ship's master when he first met Fridtjof Nansen, whose Greenland expedition of 1888 he accompanied. He advised on the construction of Nansen's wooden ship, the Fram, and became its master in 1895. Both with Nansen and under his own leadership, he undertook many expeditions. In June 1898, he took the Fram and a crew including several scientists to Ellesmere Island in the Canadian Arctic, where they overwintered for four years. Volume 1 describes the life and work of the first two years, including extensive trips away from the Fram, both on land and on the ice.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.464
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0050.004
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.4640.274

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.

Opus teacher head0.012
GPT teacher head0.190
Teacher spread0.178 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations24
Published2014
Admission routes1
Has abstractyes

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