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Record W4294738806 · doi:10.15290/bsl.2022.20.04

Ślady ekspedycji Franklina w kulturze – zmienne losy opowieści o eksploracji (arktycznej) przestrzeni

2022· article· en· W4294738806 on OpenAlexaboutno aff
Agnieszka Izdebska

Bibliographic record

VenueBiałostockie Studia Literaturoznawcze · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicPolar Research and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsWildernessNarrativeHistoryArt historyArtLiterature

Abstract

fetched live from OpenAlex

The paper examines the changing cultural perceptions of one of the most famous and mysterious geographic expeditions of the 19th century, John Franklin’s search for the Northwest Passage. Analyzed herein in closer detail are two novels: The Discovery of Slowliness by Sten Nadolny and Wanting by Richard Flanagan, as well as three texts by Margaret Atwood: the short story The Age of Lead from the collection Wilderness Tips, her Oxford lecture “Concerning Franklin and his Gallant Crew”, published in the volume Strange Things. The Malevolant North in Canadian Literature, and the foreword to the reissue of O. Beatie and J. Geiger’s book Frozen in Time. The Fate of the Franklin Expedition. All of these tales of Franklin’s expedition reflect the vicissitudes of human fantasies about exploring unknown and menacing spaces – not just the mythical frozen North. They are also narratives about our relationship with Nature and all the fears and hopes associated with that relationship.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.021
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.008
Scholarly communication0.0070.004
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.002

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 head0.009
GPT teacher head0.229
Teacher spread0.220 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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