Quaternary buried valley characterization on the Canadian Prairies using a shear land-streamer
Bibliographic record
Abstract
SummaryA 72 channel 3-component land-streamer in conjunction with an IVI Envirovibe modified with a transverse shearpack has been constructed and tested over a known >70 m Quaternary buried valley system SE of Calgary, Alberta. Recent near surface seismic reflection developments using a land-streamer have been commercialized in the Western Canadian Prairies repurposing former exploration seismic equipment. Shear-shear reflection, P-wave reflection and multichannel analysis of surface wave (MASW) data are acquired concurrently using this cost-effective system. Processed data depicts detailed characteristics relative to cross-sections based on sparse water wells drilled to depth in this area. Real-time GPS to sub-meter accuracy, 24-bit distributed recording, advanced vibrator electronics and feedback using 3C analogue geophones all operated by a single observer while operating the Vibroseis machine is a novel approach for shallow seismic applications. This equipment and methodology demonstrate a cost-effective approach to soil investigations for near surface shear velocities, soil characterization, and detailed lithology of quaternary valleys within the Canadian Prairies to in-fill drill locations and airborne geophysical methods.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".