MétaCan
Menu
Back to cohort

Interview of Frederick E. Crory by Brian Shoemaker

2012· article· en· W8791738 on OpenAlexaboutno aff
Frederick E. Crory

Bibliographic record

VenueCurrent topics in microbiology and immunology · 2012
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsnot available
Fundersnot available
KeywordsArtArt history

Abstract

fetched live from OpenAlex

Mr. Crory (Fred) grew up as a Massachusetts farm boy. At age 15 he joined the Massachusetts National Guard and at age 17 joined the Marines – serving in Guam and Japan. He also served during the Korean War. Upon discharge he used the G.I. Bill and attended the University of Massachusetts graduating with a degree in Civil Engineering. During his senior year one of his professors, Karl Hendrickson, introduced him to soil mechanics in the Polar Regions. This led to a job at the Army Corps of Engineers at their Arctic Construction and Frost Effects Laboratory (ACFEL). Fred describes his experiences in doing basic research for construction projects in the Arctic. Early on he began to work on developing adequate piling supports for the Distant Early Warning System (DEW) Line bases. Later it was on towers that oscillated due to the wind and affected their foundations. He explains frost heaving in airfields constructed on permafrost. This work took him to Fairbanks for a two-year (1956-59) assignment where he traveled the entire north Alaskan Coast conducting Arctic construction studies. Back in Massachusetts he took over the pile-testing program at ACFEL. He explains the merger of ACFEL and the Snow, Ice, Permafrost Research Experiment (SIPRE) to the Cold Regions Research and Engineering Laboratory (CRREL) in 1961 and the move to Hanover. Fred took over the Foundations Group of CRREL in the early 1960’s. With the development of the oil industry on the North Slope of Alaska, Fred became involved with development of foundations for oil-rigs, roads, airstrips, the Trans-Alaska Pipeline and etc. He explains his work studying how to protect the tundra and permafrost at test sites at Inagok, Tunaluk and Lisburne. He visited the USSR three time s to learn from their methods. He also traveled to Thule in Greenland to develop “refrigerated foundations” for the radars, the Ballistic Missile Warning System in Clear, Alaska and DEW line stations across the north slope of Canada and the United States when they were upgraded to automated sites of the North Warning System. Along the way he picked up a Master of Science degree from the College of Applied Sciences of the University of New Hampshire. Fred retired in 1990 and conducted Arctic consulting work until 1995. He is fully retired today and lives in Hanover, New Hampshire.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.479
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.047
GPT teacher head0.267
Teacher spread0.220 · 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.

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
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueCurrent topics in microbiology and immunologySame topicClimate change and permafrostFrench-language works237,207