MétaCan
Menu
Back to cohort
Record W1973040076 · doi:10.14430/arctic1503

The Great Ocean of Truth: Memories of "Hudson-70," the First Circumnavigation of the Americas, by Peter Wadhams

2010· article· en· W1973040076 on OpenAlexvenueaboutno aff
J.R. Marko, David B. Fissel

Bibliographic record

VenueARCTIC · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicHistory of Science and Medicine
Canadian institutionsnot available
Fundersnot available
KeywordsOceanographyHistoryGeologyEnvironmental ethicsGeographyPhysical geographyPhilosophy

Abstract

fetched live from OpenAlex

REVIEWS • 365 known rivers and portage routes west of Pike's Portage.Also, Ingrid Urberg of the University of Alberta has written an especially compelling chapter on the life of Helge Ingstad, who began his adventures in Canada in the 1920s as a barrenland trapper and went on in later life to discover the Viking Age site at L'Anse aux Meadows in Newfoundland.In 1970, I had the honour of meeting Helge Ingstad on Baffin Island, where he was still searching for evidence of Viking presence.Pike's Portage is named for Warburton Pike, an English gentleman adventurer and hunter who crossed it in 1890 with aboriginal guides.Although Pike is romanticized in this book, today many would challenge his racist attitudes and stereotypes of aboriginal people, as well as his misinformation about his Beaulieu family guides.Unflattering stories about Pike still linger in the North, especially among Beaulieu family members.Pike's Portage: Stories of a Distinguished Place is a well-written book with appropriately detailed maps and an interesting display of period photographs.Although there's not a lot that is new here for aficionados of northern history, many will find this a fascinating read about the people who have inhabited or passed through this storied place.

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)0.002
metaresearch head score (Gemma)0.005
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: none
Teacher disagreement score0.140
Threshold uncertainty score0.277

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0160.017
Scholarly communication0.0080.006
Open science0.0010.005
Research integrity0.0020.010
Insufficient payload (model declined to judge)0.0040.001

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 head0.014
GPT teacher head0.214
Teacher spread0.200 · 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
Published2010
Admission routes2
Has abstractyes

Explore more

Same venueARCTICSame topicHistory of Science and MedicineFrench-language works237,207