Comparative Analysis of Methodologies for the Evaluation of Geosites in the Context of the Santa Elena-Ancón Geopark Project
Why this work is in the frame
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Bibliographic record
Abstract
The Santa Elena province in Ecuador has great geodiversity potential, due to its geological characteristics and its coastal and marine context, as verified by publications about geosites, which have allowed the approach and development of initiatives in a context of geodiversity and sustainability. The aim of this article is to analyze 10 geosites from the Santa Elena province comparatively using the Brilha methodology, Geological and Mining Institute of Spain (IGME) methodology, and geosites assessment methodology (GAM) for the establishment of methodological considerations in the evaluation of geosites. These methodologies consider (i) 10 of the most representative geosites of the province for a comparative analysis; (ii) the application of the methodologies Brilha, IGME, and GAM to 10 geosites to establish the corresponding assessments; (iii) a comparative matrix of the results and analysis of the resulting assessment; and (iv) a proposal for the guidelines of an integrating methodology concerning geosites. The results show a similar ranking of 10 geosites, but highlight valuations that prioritize one aspect over another or focus on ecotourism aspects or geoconservation aspects. Based on the results and the comparative matrix, a method is structured integrating geodiversity, protection, geo-conservation, and geotourism aspects, which offer a different ranking of the considered geosites, being the most valued geosites the Chocolatera, Oln Cliff, Ancon Oilfield, and Manglaralto Coastal Aquifer.
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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 | 0.002 | 0.001 |
| 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