Virtual field sites at the UNESCO Geopark Serra da Estrela (Portugal)
Bibliographic record
Abstract
Virtual field sites are increasing in popularity beyond classrooms. Also, field investigations greatly benefit from DGPS-referenced 3D models. We show a selection of field sites at the UNESCO Geopark Serra da Estrela (Portugal) and how they were implemented into field research. In detail, the advantages of high-definition virtual models of tors, i.e., large residual vertical rocks that are still enrooted in bedrock, were explored in the modeling of the recently conceived tor exhumation approach (TEA; Raab et al., 2018) that can trace surface degradation over a multimillennial period within the landscape of interest. The TEA uses in-situ terrestrial cosmogenic nuclides (TCNs) to surface exposure date (SED) along the surfaces of tors.Animated tors of two endmember sites, formerly glaciated and non-glaciated, contributed to derived continuous surface denudation variations covering the last ~200 ka and revealed glacial retreat dynamics in good detail. Higher isotope contents, thus, surface exposure ages were found in the non-glaciated area. In the formerly glaciated site, the ice margin distance correlates with the isotope signature of the tors. Higher elevation tors have experienced mass wasting and water erosion during the transition from a cool, moist, oceanic-Mediterranean climate. There, the younger rock surfaces have a higher chemical weathering degree than older surfaces at the non-glaciated site.In summary, we provide freely available 3D field sites coupled with an extensive geomorphological study of these landscape features.
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 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) | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.021 | 0.004 |
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; both teacher heads agree on what is shown here.
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".