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Record W2488379000 · doi:10.1021/acs.jchemed.6b00073

Teaching Outside the Classroom: Field Trips in Crystallography Education for Chemistry Students

2016· article· en· W2488379000 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Chemical Education · 2016
Typearticle
Languageen
FieldChemistry
TopicVarious Chemistry Research Topics
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaOffice of ScienceMassachusetts Institute of TechnologyCamille and Henry Dreyfus Foundation
KeywordsTRIPS architectureField (mathematics)Field tripMathematics educationScience educationChemistry educationAdvanced PlacementEngineering physicsChemistryPolitical sciencePsychologyEngineeringMathematicsTransport engineering

Abstract

fetched live from OpenAlex

Field trips are an underutilized opportunity to provide depth and richness in college-level chemistry courses. The authors have found that a field trip, such as to the Advanced Photon Source (APS) at Argonne National Lab, greatly enhances the impact of a course in X-ray crystallography. Students who attend this field trip report that it is a highlight of the course and develop a lasting interest in the science of X-ray crystallography as a result. We report on our experience in planning these trips, advise on best practices, and demonstrate the positive impact of a field trip on student learning and engagement.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.048
Threshold uncertainty score0.388

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.013
GPT teacher head0.339
Teacher spread0.326 · 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