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Record W2142237696 · doi:10.14430/arctic88

Leslie A. Viereck (1930-2008)

2009· article· es· W2142237696 on OpenAlexvenueno aff
David F. Murray

Bibliographic record

VenueARCTIC · 2009
Typearticle
Languagees
FieldPsychology
TopicAcademic and Historical Perspectives in Psychology
Canadian institutionsnot available
Fundersnot available
KeywordsMathematical economicsEconomics

Abstract

fetched live from OpenAlex

Les Viereck was born on 20 February 1930 in South Dartmouth, Massachusetts.Undergraduate urges for adventure led Les and two friends from Dartmouth to drive a Model A Ford to Alaska in 1948.By happenstance, after the briefest of interviews with the legendary Cap Lathrop, a colorful and enormously successful Alaskan pioneer and entrepreneur, Les was employed that summer at Lathrop's Suntrana coal mine.However, he spent his days off at Denali National Park, and when he returned the following year, the colorful Grant Pearson, then park superintendent, hired him as ranger for Wonder Lake.After graduation from Dartmouth in 1951, Les returned to Alaska and was promptly drafted into the Army.For part of his tour (1952 -54) he served as post game warden at Fort Richardson, Anchorage, distinguishing himself by arresting one of his senior officers for a game violation.This clear sense of right and wrong presaged a serious test of character a bit more than a decade later.While still in the Army, Les and three other climbers pioneered the South Buttress route on Denali.In an approach typical of the time but unheard of now, they began the climb at the railroad, not by flying to the Kahiltna Glacier.This climb has been chronicled elsewhere, and details can be found at http://uaf-db.uaf.edu/jukebox/denali/html/levi.htm.Although injured in a fall that led to the death of one of their party and severe injury to another, Les and Morton (Woody) Wood walked out for help, a demonstration of Les's physical toughness.Les then considered graduate studies at the University of Alaska and McGill University before settling at the University of Colorado.There he earned his Master of Science degree with Bill Weber by working up plant collections he had made at the Knob Lake subarctic field station of McGill University, Schefferville, Quebec, followed by a doctorate with John Marr on primary succession on the Muldrow Glacier foreland, Denali National Park.Les met Eleanor (Teri) Norton in Alaska and they married in 1955.They spent the summers of 1955 -59 in Alaska, and during one of these worked with W.O. Field to investigate botanical dating of recent glacial activity in Prince William Sound.In 1959, Les and Teri, shortly before the birth of son Rodney, traveled from Boulder north to Fairbanks for Les to take up a position at the University of Alaska, where he worked with Project Chariot to conduct what was probably the first environmental impact statement of consequence.Although it sounds reckless today, it was seriously considered then to excavate a harbor on Alaska's northwest Arctic coast by using a nuclear device.However, as data from multidisciplinary studies accumulated, it became increasingly clear to Les, Don Foote, and W.O. (Bill) Pruitt, Jr. that the "controlled" nuclear explosion could not be justified in the face of the likely radioactive aftermath on people using the region for home and hunting.Formal

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)0.001
metaresearch head score (Gemma)0.002
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 score0.026
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0170.008

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 head0.025
GPT teacher head0.352
Teacher spread0.327 · 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

Citations1
Published2009
Admission routes1
Has abstractno

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