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Record W7001238293

Investigation of construction and maintenance of airdromes on ice, 1946-1947 : report of landings on ice at Cambridge Bay, Canada, May 1947

2016· other· en· W7001238293 on OpenAlexaboutno aff

Bibliographic record

VenueUS Army Corps of Engineers: Engineer Research and Development Center (Knowledge Core) · 2016
Typeother
Languageen
FieldArts and Humanities
TopicLiterature, Culture, and Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsWork (physics)Highway maintenanceTower
DOInot available

Abstract

fetched live from OpenAlex

Field observations were made of the operation of wheeled aircraft from water supported ice at Cambridge Bay, Victoria Island, Canada for "Project Beetle", in connection with an "Investigation of the Construction and Maintenance of Airdromes on Ice Caps and Ice Masses" as authorized by Office, Chief of Engineers and carried out by the New England Division during the fiscal year 1946-1947. The observations were made from 14 May 1947 to 24 May 1947. The site of operations had been selected as a location for one of a number of joint Canadian and American Arctic weather stations. Observations and studies were made as follows: (1) Effect of airplane wheel loads on ice, (2) Effect of snow cover on operation of wheeled aircraft on ice, (3) Effect of weather on ice formation, (4) Effect of operation of construction and maintenance equipment on ice surfaces, (5) Effect of oil, gasoline and debris on ice surfaces, (6) Construction and maintenance of snow covered ice airfield. It is concluded that fast ice in sheltered bays and inlets, such as that at Cambridge Bay, provides one of the most desirable sites for ice airfields when ice thickness requirements can be met. It is also concluded that 4 to 6 inches of snow cover on traffic areas is desirable for prolonging the useful period of operation, for smoothing out of minor surface irregularities and for providing a satisfactory braking surface for aircraft wheels.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.079
Threshold uncertainty score0.159

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0070.002
Scholarly communication0.0010.000
Open science0.0010.002
Research integrity0.0010.001
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 head0.038
GPT teacher head0.257
Teacher spread0.219 · 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
Published2016
Admission routes1
Has abstractno

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