The geology of Southern Ontario: Geographic information software for sharing map-based narratives as a tool for open-source education and science communication
Bibliographic record
Abstract
The geology and geological history of Southern Ontario is a fundamental part of university undergraduate courses in Earth Science and Geoscience programs. The broader public, however, is usually only able to learn about parts of the expansive geology and long geological history of Southern Ontario in jargon-laden geological resources or through interpretive panels at specific tourist destinations. Here we present the “The Geology of Southern Ontario” ArcGIS StoryMap (https://arcg.is/0fP1WH), a digital open access resource that enables everyone, from the general public, to amateur geologists, and elementary, secondary or post-secondary school teachers to learn about how Southern Ontario’s geologic record evolved. This resource aims to focus on selected learning objectives so the reader can understand, engage, and remember knowledge about the geology of Southern Ontario such as the three basic rock units, basic rock formation processes, and where such rocks can be found. Additionally, it includes information about how Southern Ontario’s geology influences our daily lives. It does this by presenting examples of which resources we extract (e.g. for smartphones, computers, cars), how it influences agriculture, or how the present geography and landforms seen along the many hiking trails of Southern Ontario, are related to long and short-term geologic processes.\nReaders will encounter short “Pause to think” questions and summaries at the end of each section, were we encourage the reader to think critically about and internalize the knowledge. The learning objectives, pause to think, and summaries all hope to spark a feeling of belonging and being part of our fascinating and constantly evolving Earth. This resource is being developed in collaboration with the University of Waterloo, University of Toronto-Scarborough, the Geological Survey of Canada (GSC), Ontario Geological Survey (OGS) and the Ontario Oil, Gas and Salt Resource Library (OGSRL) to increase access to geoscientific information usually only discussed in universities, specific governmental branches, and industry. The StoryMap forms the foundation for other open educational resources and educational teaching tools that are currently in development, which include physical and digital 3D models of the surface to subsurface geology of Southern Ontario.
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 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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.075 | 0.018 |
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".