The Measurement Challenge of DC Resistance Shunts
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
During the 2011 NCSLI Workshop & Symposium the initial data for an NCSLI shunt inter-laboratory comparison (ILC) was presented and the data clearly showed the existence of measurement pitfalls in the field of dc shunts. The sharing of this data led to an examination of dc shunt measurements at the Canadian National Measurement Institute (NMI).In this presentation I will discuss areas of shunt measurement that affect the accuracy and repeatability of the measurement. These will include the effects of temperature, connectors, environment, and calibration methods. The importance of communication between the client and the calibration laboratory will be emphasized, as well as the importance of providing the client with a calibration that reflects the value of a dc shunt, in the manner and under the conditions that the artifact is used. Finally I will briefly discuss how shunt calibrations are performed at NRC.
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 | 0.000 | 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 | 0.000 |
| 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