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Record W6991308456

The geology of Southern Ontario: Geographic information software for sharing map-based narratives as a tool for open-source education and science communication

2023· article· en· W6991308456 on OpenAlexaboutno aff

Bibliographic record

VenueScholarship@Western (Western University) · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicGeography Education and Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsResource (disambiguation)Historical geologyAmateurExpansiveTourismNarrativeLandformSPARK (programming language)
DOInot available

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.138
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.082
GPT teacher head0.367
Teacher spread0.285 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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