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Record W4210613690 · doi:10.3138/ijcs.60.x.1

The Legend of the <i>Gedania</i> Voyage Through the Northwest Passage

2022· article· en· W4210613690 on OpenAlexvenueaboutno aff
Marcin Gabryś

Bibliographic record

VenueInternational Journal of Canadian Studies · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCrewLegendPoliticsArcticThe arcticSovereigntyHistoryNorth poleOn boardLawArchaeologyPolitical scienceGeographyOceanographyPhysical geographyGeology

Abstract

fetched live from OpenAlex

This article analyzes a largely unknown voyage undertaken by Capitan Dariusz Bogucki in the summer of 1975 through the Northwest Passage on-board a Polish yacht called Gedania. This expedition was one of the first attempts to navigate the Arctic straits aboard a small sailing vessel and, although unsuccessful, has attained legendary status among Polish sailors. Despite a ban from the Canadian authorities, the Gedania, managed to penetrate 300 miles into the Canadian Arctic. In Resolute Bay the crew failed, however, to persuade local officials to issue a permit and was ordered to sail south immediately. During her retreat from the Arctic a debate among the Canadian public lasting several weeks began as to how a crew from communist Poland had sailed so far north without trouble, only a few years after the US tanker Manhattan had started a political crisis over Canadian sovereignty over the waters of the Northwest Passage. The aim of this article is to verify the legend of the Gedania voyage through the use of archival materials and to discover whether the reasons consent was refused to the Gedania were entirely based on practical considerations or whether they also had political dimensions.

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.835
Threshold uncertainty score0.329

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.007
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.002
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 head0.042
GPT teacher head0.333
Teacher spread0.291 · 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
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 routes2
Has abstractyes

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