Application of Surface Geophysics for Providing a Detailed Geotechnical Assessment of a Large Resort Development Site in Anguilla, BWI
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.
Bibliographic record
Abstract
Ocean Earth Technologies, Inc. (OET), a subsidiary of N.S. Nettles &Associates, Inc., was contracted to perform a geophysical mapping study andcomprehensive geotechnical investigation of a proposed resort property located inRendezvous Bay, Anguilla, British West Indies (BWI) (Figure 1). The purpose of themapping was to provide extensive detail into the geologic conditions across the siteand in the bay that would help to identify any anomalous subsurface features, such assolution zones or fractures in the limestone unit, which would be potential hazardsand areas of concern for construction purposes. Additionally, the testing was used toidentify the depth to competent rock across the site, the thicknesses of overlyingunconsolidated units, and ideal drilling locations for the placement of flushingchannels that will connect the inland salt pond on the resort property to RendezvousBay. The geophysical surveys consisted of both Multi-Electrode ElectricalResistivity (MER) testing, as well as Multi-Channel Analysis of Surface Waves(MASW), a seismic method of geophysical mapping (Nettles, 2005; Ocean EarthTechnologies, 2006; Ocean Earth Technologies, 2006). These surveys were followedby 45 Standard Penetration Test (SPT) borings and 60 ten foot long, four inch rockcore borings in order to ground-truth the geophysical data and obtain physicalsamples for laboratory analysis of engineering properties for design purposes.Additionally, 71 Cone Penetration Test (CPT) soundings were also performed on thebeach front unconsolidated sands.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it