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Record W4375860415 · doi:10.21203/rs.3.rs-2890202/v1

Modelling the degradation of acidic and alkaline printing paper

2023· preprint· en· W4375860415 on OpenAlexaff
Jean Tétreault, Diógenes R. L. Vedoy, P. Bégin, Paris Lacombe Sabrina, Anne‐Laurence Dupont

Bibliographic record

VenueResearch Square · 2023
Typepreprint
Languageen
FieldArts and Humanities
TopicCultural Heritage Materials Analysis
Canadian institutionsCanadian Heritage
Fundersnot available
KeywordsUltimate tensile strengthPulp (tooth)Degradation (telecommunications)CelluloseFilter paperCellulosic ethanolChemistryDegree of polymerizationPolymerizationPulp and paper industryChemical engineeringMaterials sciencePolymerComputer scienceEnvironmental scienceComposite materialChromatographyOrganic chemistryEngineering

Abstract

fetched live from OpenAlex

Abstract There has always been an interest in the professional communities of libraries, archives and conservation science to find ways of estimating the rate of degradation of paper under archival conservation conditions. Previously we reported a number of considerations for developing a kinetic degradation model based on Whatman no.1 paper. In the present research, this model was extended to 10 different papers and validated. Various physical and chemical properties of acidic, neutral, and alkaline papers were measured, such as the degree of polymerization (DP), tensile strength, equilibrium moisture content (EMC), and pH, as well as alkaline reserve when applicable. The activation energy ( E a ) based on DP of cellulose and zero-span tensile strength were determined. E a and pH had the most significant influence on the simulated decay of paper. Papers with a high E a (> 120 kJ mol -1 ), alkaline such as those containing at least 2% CaCO 3 , and acidic –but good printing quality papers made of bleached chemical pulp– were found the most durable in ambient conditions. Papers with a lower E a (< 110 kJ mol -1 ) such as lignocellulosic papers containing significant amount of mechanical pulp were much less stable over time. Whatman filter papers, used as models of pure cellulosic papers, were found to have low E a despite the good quality cotton fibers. A generic isoperm equation based on E a was developed to predict the changes in the state of papers under various climatic conditions, and was applicable independently of the pH of the paper. The model developed allows a better quantification of the deterioration rate of printing papers such as those that are currently, and will be in the future, found in our archival collections.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.389
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.247
GPT teacher head0.365
Teacher spread0.118 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2023
Admission routes1
Has abstractyes

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