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Record W2808220593 · doi:10.1080/10899995.2018.1475821

Braiding history, inquiry, and model-based learning: A collection of open-source historical case studies for teaching both geology content and the nature of science

2018· article· en· W2808220593 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Geoscience Education · 2018
Typearticle
Languageen
FieldEngineering
TopicReservoir Engineering and Simulation Methods
Canadian institutionsUniversity of Calgary
FundersUniversity of Calgary
KeywordsNarrativeMathematics educationPopulationNext Generation Science StandardsEarth scienceScience educationComputer scienceSociologyGeologyPsychology

Abstract

fetched live from OpenAlex

Many of the current issues facing humans are geologic in nature. Whether the issue is mitigating the impact of geologic hazards, reducing air and water pollution, managing the energy of mineral resources, or minimizing the impact of anthropogenic global climate change, we require a geosciences-literate population. This is crucial to developing policies to best address these issues and to voting to implement such policies. In this article, we introduce a novel strategy for teaching geoscience content, as well as the nature of science, to a diverse audience: the historical case study. Essentially, the historical case studies "braid" the separate strands of history, inquiry, and model-based learning into a narrative, thus allowing students to experience science in the making. This is in contrast to ready-made science as traditionally taught. We discuss the generations of the cases, summarize their content, and describe their implementation in multiple contexts of different courses. We also provide insights from the undergraduate researchers who developed the cases, the instructors who implemented them, and some preliminary data on student knowledge development concerning both geoscience content and nature of science. The cases are available online and open to the public. We welcome any feedback you wish to share.

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.

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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.250
Threshold uncertainty score0.312

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.069
GPT teacher head0.364
Teacher spread0.295 · 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