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On site with Maurice Haycock, artist of the Arctic: painting and drawing of historical sites in the Canadain Arctic

2008· article· en· W2584161130 on OpenAlexaboutno aff
Dennis Reid

Bibliographic record

VenuePolar Research · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicPolar Research and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsAmateurPaintingNova scotiaGeological surveyArcticArchaeologyCraftGovernment (linguistics)The arcticHistoryChoseArt historyPolitical scienceGeologyOceanographyLaw

Abstract

fetched live from OpenAlex

It’s not surprising that Maurice Haycock’s art project combines aspects of a geological survey with characteristics of the practice of the dominant Canadian landscape painters of the early 20th century. His father was a professor of geology at Acadia University in Wolfville, Nova Scotia, and Maurice chose to follow in his footsteps, graduating from Acadia in 1926, and then going on to Princeton University where he received a PhD in Economic Geology in 1931. He then joined the Bureau of Mines in the Canadian Department of Resources and Development in Ottawa, where he worked until his retirement in 1965. Young Haycock took summer jobs every year between 1918 and 1931 with the Geological Survey of Canada, which gave him invaluable field experience, and in 1926, as a break before undertaking graduate work, he accepted a 15-month assignment with the Survey in the eastern Arctic. Returning near the end of August 1927, he boarded the government supply ship The Beothic in Pangnirtung, which was that summer carrying the well-known “Group of Seven” artist A.Y. Jackson and his friend, the famous scientist and amateur painter, Dr Frederick Banting. It was a chance encounter that ultimately would bring a significant new dimension to Haycock’s life.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.054
Threshold uncertainty score0.948

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.039
GPT teacher head0.279
Teacher spread0.240 · 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 teacher head, 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

Citations0
Published2008
Admission routes1
Has abstractyes

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