A Problem-Based Approach to Teaching the Internal Standard Method by ATR-FTIR Spectroscopy
Why this work is in the frame
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Bibliographic record
Abstract
The ability of students to perform quantitative analysis is a fundamental aspect of analytical chemistry courses and laboratories. In this laboratory experiment, students quantitatively analyze both liquid and solid samples through the use of internal standard calibration and ATR-FTIR spectroscopy. Using a problem-based approach to selecting their internal standards, students gain a deeper understanding of the internal standard method of calibration and the process of selecting appropriate standards for the analysis of sodium benzoate and acetophenone. This experiment allows students to explore the internal standard method of calibration under a wider context of quality control and quality assurance as they frame their quantitative analyses through both internal and external quality assurance testing methods. In a survey of students undertaking this experiment, most students responded that the experiment provided them with a better understanding of the internal standard method of calibration, and the selection of internal standards, and offered them an opportunity to gain hands-on experience with ATR-FTIR spectroscopy.
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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 | 0.000 |
| Science and technology studies | 0.000 | 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