Hydroweb: an Open Source educational WebGIS platform for the understanding of spatio-temporal variations of meteorological parameters at the watershed scale
Bibliographic record
Abstract
GIS is an interdisciplinary technology able to support high-level thinking and spatial reasoning. It allows students to visualize complex real world problems, and supports multiple modes of learning. But GIS remain unused at the primary school level. Indeed, there is a gap between a declared interest in GIS technology and their effective slow rate of implementation in classrooms. The complexities of desktop GIS are possible brakes on their adoption in schools. They can be cut by using web-based GIS solutions. Indeed, internetbased mapping provides an invaluable way for establishing GIS technology in the primary and secondary education (âK-12 education communityâ in USA and Canada), while avoiding the main barriers associated with desktop GIS. Such tools can support standard methods of teaching and learning while providing basic analysis tools for studying and exploring geographic or other scientific data in the classroom. This kind of platform is ideal for many teachers and 12-14 years old children that are not able to spend the time and energy required to run desktop GIS.
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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 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".