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Record W2904336476 · doi:10.13023/kgs.ic33.12

Rocks to Roads to Ruin: A Brief History of Western Kentucky’s Rock-Asphalt Industry, 1888–1957

2016· article· en· W2904336476 on OpenAlexaboutno aff
J. Richard Bowersox

Bibliographic record

VenueUKnowledge (University of Kentucky) · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicArchaeology and Natural History
Canadian institutionsnot available
Fundersnot available
KeywordsGeologyAsphaltArchaeologySinkholeGeotechnical engineeringForensic engineeringKarstHistoryEngineeringPaleontology

Abstract

fetched live from OpenAlex

Abstract: The history of western Kentucky’s rock-asphalt industry required substantial research of primary sources to correct the disjointed and often conflicting record published to date. Its history is checkered with characters from visionary entrepreneurs and ambitious businessmen to financial scoundrels. The earliest evidence of exploitation of bitumen resources at the surface in western Kentucky is in Native American artifacts recovered from several sites. Early settlers in the region used heavy oil and bitumen found in seeps as lubricants and wood preservatives, among other uses. The commercial value of the widespread western Kentucky rock-asphalt deposits was first recognized in the 1880’s, leading to the development of a 70-year industry with a product used to pave roads in much of the midwestern and eastern United States, and in Canada, Cuba, and Brazil. From the industry’s inception in 1889 to its closure in 1957, 19 companies developed rock-asphalt deposits in the Big Clifty Sandstone and Caseyville Formation in Grayson, Edmonson, Logan, Breckinridge, and Hardin Counties, although only about half of these companies were in business more than 6 years. The longest active was the Kentucky Rock Asphalt Co., in business from 1917 to 1957. Peak annual production was reached in 1927 when eight operators produced 344,220 tons, and an estimated total of 6.04 million tons from all Kentucky rock asphalt, containing an estimated 2.33 million barrels of bitumen, produced throughout the industry’s entire history. Considering, however, the enormous volume of heavy oil and bitumen resources estimated to be in surface and shallow subsurface deposits in the rock-asphalt–producing counties, only about 0.1 percent of these resources have been produced to date.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.391
Threshold uncertainty score0.778

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0040.002
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.002

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 head0.022
GPT teacher head0.245
Teacher spread0.223 · 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 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
Published2016
Admission routes1
Has abstractyes

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