CREATING AUTHENTIC LEARNING ACTIVITIES IN PHARMACEUTICAL INSTRUMENTAL ANALYSIS: USING THE INTEGRATED LABORATORY NETWORK FOR REMOTE ACCESS TO SCIENTIFIC INSTRUMENTATION
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.
Bibliographic record
Abstract
The Western Washington University Integrated Laboratory Network (ILN) is an initiative to provide anytime/anyplace access to scientific instrumentation for use in the classroom, laboratory, and research environments. The ILN provides students with greater opportunities to design and conduct real experiments remotely using advanced analytical instrumentation. This paper describes the use of the ILN to provide pharmaceutical sciences students at the University of British Columbia with remote access to instrumentation located at Western Washington University for the purpose of measuring metals in traditional herbal medicines. Prior to the introduction of the ILN, this type of activity would have been difficult, if not impossible, to conduct. Student feedback related to the use of the ILN was positive and supports the further development of curricular materials related to the use of remote instrumentation.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it