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Record W4230362586 · doi:10.25071/2561-5467.370

Too hot to handle? Dutch Whaling and Seal Hunting in the Arctic during the Nineteenth Century, 1815-1885

2007· article· en· W4230362586 on OpenAlexvenueno aff
Joost C. A. Schokkenbroek

Bibliographic record

VenueThe Northern Mariner / Le marin du nord · 2007
Typearticle
Languageen
FieldArts and Humanities
TopicMaritime and Coastal Archaeology
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesWhalingPolitical sciencePhilosophyGeographyArchaeology

Abstract

fetched live from OpenAlex

Les entrepreneurs hollandais, initialement aids par de gnreuses subventions gouvernementales, ont cr au dix-neuvime sicle un certain nombre de compagnies spcifiquement pour la pche la baleine et au phoque, mais ces industries n'ont jamais prospr. La difficult tait un manque d'esprit d'entreprise et de bonne volont d'innovation plutt qu'une pnurie de finances. Les pcheurs la baleine, tant anglais qu'cossais, allemands, et, particulirement, norvgiens ont fait la transition de la voile la vapeur beaucoup plus tt que le Nerlandais qui se sont raccrochs bien trop longtemps l'ide que la technologie et les mthodes des dix-septime et dix-huitime sicles taient encore applicables l'industrie de la pche la baleine du dix-neuvime.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.521
Threshold uncertainty score0.964

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
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 head0.012
GPT teacher head0.203
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 designObservational
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

Citations1
Published2007
Admission routes1
Has abstractyes

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