Treatment Case Studies in the Consolidation and Adhesion of Cellulose Nitrate
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
Cellulose nitrate artifacts from the collections of the Queen’s University Master of Art Conservation Program and Glanmore National Historic Site were examined and treated by graduate students in the Master of Art Conservation Program at Queen’s. Each object was in a varied state of degradation with unique condition problems. Under the supervision of the artifacts conservation professor, graduate students identified the materials constituting their objects and tested various treatment methods for consolidation and structural repair. Paraloid® B-67 in n-butanol and Aquazol® resins in isopropanol and distilled water were found to be effective in different roles, depending on the object and its state of degradation. This paper will discuss the factors that influenced decision-making for each object, with the aim of expanding interventive treatment strategies for cellulose nitrate objects.
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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 | 0.001 |
| 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 | 0.001 |
| 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