Bibliographic record
Abstract
SUMMARIES A study of the thermal ageing of paper was undertaken jointly by the U.S. Library of Congress (LOC) and the Canadian Conservation Institute (CCI) as part of the ASTM/ISR Research Program on the Effects of Ageing on Printing and Writing Papers. An overview of the CCI's part of the project and the joint CCI/LOC recommendations for an accelerated ageing test are provided. Advantages and limitations of the proposed test protocol are also discussed. Une étude relative au vieillissement du papier accéléré par la chaleur a été faite conjointement par le U.S. Library of Congress (LOC) et l'Institut canadien de conservation (CCI) dans le cadre d'un programme de recherche ASTM/ISR sur les effets du vieillissement sur des papiers à écrire et à imprimer. On donne un aperçu sur l'étude réalisée par l'Institut canadien de conservation et on communique également les recommandations conjointes du CCI/LOC concernant le test de vieillissement artificiel. Les avantages et les limites du test proposé font l'objet d'une discussion. Als Teil eines Forschungsprogramms des US Institut für Normenforschung in der Gesellschaft für Materialuntersuchung zur Wirkung einer Alterung auf Druck- und Schreibpapier haben die Library of Congress und das kanadische Konservierungsinstitut eine Untersuchung über die Hitzealterung durchgeführt. Es wird ein Überblick über den vom kanadischen Konservierungsinstitut erbrachten Anteil gegeben, und es werden die von beiden Partnern erarbeiteten Empfehlungen zur beschleunigten Alterung sowohl mitgeteilt als auch nach ihren Vor- und Nachteilen diskutiert.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 0.012 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".