Case study 8. Geological mapping derived from topography
Bibliographic record
Abstract
A geological boundary is outlined by topography when the two lithologies meeting at the contact have contrasting physico-chemical characteristics. The topographic response of the contact is related to the differential response of the various rock types to local weathering activities. Local climatic conditions may either accentuate or retard the erosion of rock types. Derivation of topographic information comes from three types of surveys: distance ranging, stereogrammetry, and interferometry. For each of the three types of surveys, there are variations in the methods with which data are acquired. One of the most critical issues concerns the acquisition format. If isolated elevation points are acquired, then computation of a representative Digital Elevation Model (DEM) necessitates a gridding algorithm and care must be exercised to understand the impact of the gridding. In contrast, when a swath of elevation points is acquired, the quality of the DEM is defined by the pixel resolution of the acquisition instrument. Examples of the use of topographic mapping of geology are given for a) flat-lying strata (Cypress Hills, Alberta); b) regional-scale folded strata (Whitefish Falls, Ontario), and c) highly deformed gneiss terrain (Grenville Province, Key Harbour, Ontario).
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 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 teacher head, 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".