School on Geoethics and Natural Issues
Bibliographic record
Abstract
Founded on July 2019, the “School on Geoethics and Natural Issue” (http://www.geoethics.org/geoethics-school) is a scientific, international, multicultural and multidisciplinary meeting place for teaching and learning of the principles and values of geoethics in the light of the philosophy and history of Earth sciences. Its intent is to provide background knowledge and the evaluation skills necessary to understand the complex relationship between human action on ecosystems and the decisions geoscientists make in the discipline that impact society, including improving the awareness of professionals, students, decision-makers, media operators, and the public on an accountable and ecologically sustainable development. The School on geoethics, conformed to the Geoethical Promise (http://www.geoethics.org/geopromise) and the Cape Town Statement on Geoethics (http://www.geoethics.org/ctsg), aims to provide excellent education in geoethics (http://www.geoethics.org/definition), thus promoting the development of a scientific and critical attitude to the knowledge of the Earth and its constituent systems, by fostering a growth of awareness and responsibility towards the planet, education in the values and actions underlying a respect for ecosystems, including responsible use of resources, management of natural risks, reduction of pollution and its repercussions on human health and climate, adaptation to environmental changes, in view of an accountable and ecologically sustainable development. Moreover, it provides the opportunity to deepen reflection on the sense and social utility of geosciences, analyzing their rational categories, values, possible perspectives, uncertainties and cognitive limits, and to learn and develop more responsible strategies, operating procedures and practical actions, that are compatible with respect for socio-ecological systems, the vocation of the territories, including the health and safety of human communities. The courses are addressed to different categories of users: they can be useful to both secondary school students and university undergraduate/graduate students in disciplines that deal with the environment from different perspectives (planning, naturalist, geo-biological, landscape, architectural, legislative, educational, cultural and relative to communication). Scholars of the phenomena and processes of the planet (researchers, academics, scientists), as well as those who physically operate in the territories (various types of professionals, geologists, engineers, landscape architects, risk experts, media operators, decision-makers) can find valid support to their scientific and professional preparation in the courses. Finally, the School on geoethics is also aimed at the general public and others, including non-experts, who are interested in better understanding the bond that links human communities to ecosystems, within the perspective of responsible development.
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.008 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.007 | 0.011 |
| Insufficient payload (model declined to judge) | 0.146 | 0.071 |
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".