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Record W2317754560 · doi:10.1061/40971(310)61

Estimate of Cliff Recession Rates for a US Highway Located on a Sandstone Cliff over Lake Superior

2008· article· en· W2317754560 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueGeoCongress 2008 · 2008
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicCoastal and Marine Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsCliffGeologyShoreWeatheringErosionCoastal erosionGeotechnical engineeringHydrology (agriculture)GeomorphologyOceanographyPaleontology

Abstract

fetched live from OpenAlex

Coastal cliff erosion is a problem in many coastal regions including the Great Lakes of Canada and the United States. While data exists on the recession rates for oceanic cliffs, there is limited data for the fresh water cliff erosion. Currently, cliff recession is threatening a US highway (US-41) located on a 30 m sandstone cliff on the south shore of Lake Superior. The recession has advanced to a point where it is undercutting the guardrail system for the highway. A research program was conducted to determine the regression rate and when the highway should be relocated or if alternative methods of slope remediation can be performed allowing the scenic highway to remain in its current position. The cliff regression analysis includes investigating variations in shore platform widths, freeze thaw cycling, and other environmental factors, in addition to rock characteristics. Laboratory tests include point load testing, uniaxial compressive testing, rock quality designation (RQD), rock mass rating (RMR), and freeze-thaw durability. It was found that the following factors control the rate of the cliff regression, which was found to be about 0.15 feet/year: (1) deposition of mine waste at the base of the cliffs during the early 20th century and the subsequent removal by long shore currents; (2) rock weathering and water migration above low permeability layers accessing the cliff face; and (3) the development of the talus slope at the base of the cliff, which acts as a barrier to further regression.

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.

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 score0.091
Threshold uncertainty score1.000

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)0.0010.000

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 head0.015
GPT teacher head0.259
Teacher spread0.244 · 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