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Record W2891569903 · doi:10.1021/acs.jchemed.7b00421

Overcoming the Hurdle from Undergraduate Lab to Research Lab: A Guided-Inquiry Structural Characterization of a Complex Mixture in the Upper-Division Undergraduate Organic Lab

2018· article· en· W2891569903 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.

Bibliographic record

VenueJournal of Chemical Education · 2018
Typearticle
Languageen
FieldChemistry
TopicVarious Chemistry Research Topics
Canadian institutionsUniversity of Winnipeg
Fundersnot available
KeywordsCharacterization (materials science)ChemistryNanotechnologyMaterials science

Abstract

fetched live from OpenAlex

This guided-inquiry, upper-division undergraduate organic lab experiment, a hybrid of problem-based learning (PBL); process-oriented, guided-inquiry learning (POGIL); and peer-led team learning (PLTL) has been developed to ease the transition from the undergraduate lab to a research lab environment. The characterization of a mixture of camphor and p-coumaric acid involves a complex separation as well as thoughtful NMR experiments and solvent selection. Technique and problem-solving instruction (involving thin-layer and column chromatography as well as 1D [coupling constant analysis] and 2D [COSY, HSQC, and HMBC] NMR spectroscopy) has been simplified for the instructor by the development of videos, detailed notes, and assignment worksheets.

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 score0.027
Threshold uncertainty score0.516

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.068
GPT teacher head0.388
Teacher spread0.320 · 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