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Record W2026040011 · doi:10.1021/ed081p1814

Remote Instrumentation for the Teaching Laboratory

2004· article· en· W2026040011 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 Chemical Education · 2004
Typearticle
Languageen
FieldEngineering
TopicExperimental Learning in Engineering
Canadian institutionsNorthern Alberta Institute of TechnologyAthabasca University
Fundersnot available
KeywordsRemote laboratoryInstrumentation (computer programming)The InternetDistance educationComputer scienceChemistry educationMultimediaMathematics educationWorld Wide WebQuality (philosophy)PhysicsMathematics

Abstract

fetched live from OpenAlex

Chemistry has traditionally been one of the more difficult subjects to teach at a distance owing mostly to challenges in delivering the laboratory component. It is now possible to control analytical instruments in real time and carry out computer-interfaced instrumental chemistry experiments remotely via an Internet connection. Selected project students in the Chemical Technology Program at the Northern Alberta Institute of Technology (NAIT) carried out experiments remotely on FTIR and GC instruments, while several first-year Athabasca University chemistry students used the UV–vis spectrophotometer to analyze their samples at a distance. This paper presents an overview of this collaborative project in which students incorporate remote experiments and analyses as part of their training and learning experience within existing courses.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.063
Threshold uncertainty score0.173

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
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 head0.005
GPT teacher head0.261
Teacher spread0.256 · 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