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Record W2512952896 · doi:10.5408/15-133.1

Building an Outdoor Classroom for Field Geology: The Geoscience Garden

2016· article· en· W2512952896 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Geoscience Education · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicGeography Education and Pedagogy
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsField (mathematics)Earth scienceClass (philosophy)Mathematics educationHistorical geologyGeologyArchaeologyPsychologyGeographyComputer scienceBiogeosciencesMathematics

Abstract

fetched live from OpenAlex

Many geoscience educators have noted the difficulty that students experience in transferring their classroom knowledge to the field environment. The Geoscience Garden, on the University of Alberta North Campus, provides a simulated field environment in which Earth Science students can develop field observation skills, interpret features of Earth's crust in three dimensions, and discover Earth history. The garden consists of large (1–5 m) boulders and rock slabs arranged in a landscaped layout that represents the geology of western and northern Canada. The project adds a unique capability for teaching basic field skills to students in a local environment and prepares them for field courses at more remote locations. Students work in the garden in a second-year introductory structural geology class that precedes a field school. Student perceptions of the effectiveness of the installation were evaluated using surveys of students returning from field school. Initial responses were positive; students returning from field school after the introduction of the garden reported significantly greater satisfaction with their ability to collect field data.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.830
Threshold uncertainty score0.703

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
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 head0.036
GPT teacher head0.406
Teacher spread0.370 · 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