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Record W2166671048 · doi:10.24043/isj.200

Isolation, Connectedness and the Uses of Text in Heroic-Era Antarctica: The Cases of Inexpressible and Elephant Islands

2007· article· en· W2166671048 on OpenAlexvenueno aff
Elizabeth Leane

Bibliographic record

VenueIsland Studies Journal · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicPolar Research and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsSanityIsolation (microbiology)MainlandIcebergSocial connectednessHistoryMainland ChinaGeographyGenealogyOceanographyGeologyArchaeologyIce sheetPsychologyPolitical scienceLawChinaBiologySocial psychology

Abstract

fetched live from OpenAlex

This article focuses on the experiences of early 20th century expeditions trapped over winter on Antarctic islands. These explorers were in a paradoxical position, completely isolated from the world they knew but in uncomfortably close quarters with their companions. Prominent amongst the available resources that they could use to maintain sanity in these doubly trying circumstances were texts. Like the Antarctic ice, which effectively turns islands into part of the mainland, but can just as easily make an iceberg out of a seemingly stable “peece of the continent”, texts were a means towards both connection and insularity for these men.

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)0.003
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0220.041
Scholarly communication0.0100.008
Open science0.0020.011
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.021
GPT teacher head0.300
Teacher spread0.278 · 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 designQualitative
Domainnot available
GenreEmpirical

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

Citations6
Published2007
Admission routes1
Has abstractyes

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