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Record W4311178217 · doi:10.55069/jif44122

Expedition Relics from High Arctic Greenland. Eight Decades of Exploration History Told through 102 Objects

2022· book· en· W4311178217 on OpenAlexaboutno aff
P.R Dawes

Bibliographic record

VenueMuseum Tusculanum Press eBooks · 2022
Typebook
Languageen
FieldEnvironmental Science
TopicPolar Research and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsAnnalsArcticTundraGeographyBayThe arcticHistoryArchaeologyOceanographyPhysical geographyGeology

Abstract

fetched live from OpenAlex

Euro-American explorers reached northernmost Greenland in the mid-19th century. Remoteness, desolate tundra, and persistent sea ice have ensured that many historic sites from early (non-Inuit) exploration remained undisturbed by man. Moreover, as the result of the dry polar climate, the physical remains from these expeditions – even cloth, leather, and paper – are generally well preserved. The hundred and two objects registered and described in this book were discovered at thirty-two sites stretching from Baffin Bay to the Arctic Ocean. They derive from nineteen American, British and Danish expeditions of geographical discovery that reached Greenland between 1853 and 1934. Ranging from commonplace to borderline unique, the artefacts give an insight to conditions, life and mere survival on these expeditions, an insight that adds authenticity to the written annals and to a history that is truly dramatic with at least fifty men losing their lives. Beautifully illustrated with no less than 600 images comprising maps, portraits, scenes from the historic sites and superb artefact photography, this book will appeal not just to students of historical archaeology, but to all interested in the exploration of the polar regions.

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)0.000
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 score0.061
Threshold uncertainty score0.122

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.003

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 head0.048
GPT teacher head0.239
Teacher spread0.191 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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