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Record W4282926580 · doi:10.1515/res-2022-0005

Insights From the NANOforArt Project: Application of Calcium-Based Nanoparticle Dispersions for Improved Preservation of Parchment Documents

2022· article· en· W4282926580 on OpenAlexaff
Angelica Bartoletti, Marianne Odlyha, Laurent Bozec

Bibliographic record

VenueRestaurator International Journal for the Preservation of Library and Archival Material · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Heritage Materials Analysis
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsParchmentNanoparticleChemistryMaterials scienceNanotechnologyArchaeologyHistory

Abstract

fetched live from OpenAlex

Abstract Following pilot testing of the effects of alkaline-based nanoparticles on modern parchment, the treatment was extended to historical parchment. This paper describes the application and impact of calcium hydroxide and calcium carbonate nanoparticles dispersed in (i) propan-2-ol and (ii) cyclohexane on a parchment book cover dated 1570. The cover showed signs of damage resulting from contact with iron gall inks and low pH values (∼4–5). Protocols for the damage assessment of collagen in parchment as developed in the IDAP project ( Improved Damage Assessment of Parchment ) were used to evaluate the impact of the conservation treatments on parchment. Preliminary results have shown that the application of calcium-based nanoparticles did not produce any adverse effects on the state of preservation of collagen. In addition, positive outcomes emerged: the pH was re-adjusted to a neutral value, a strengthening and consolidation effect was observed, and the nanoparticles exhibited a protective action upon artificial ageing of the treated parchment.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.265
Threshold uncertainty score0.349

Codex and Gemma teacher scores by category

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

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 head0.038
GPT teacher head0.275
Teacher spread0.237 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueRestaurator International Journal for the Preservation of Library and Archival MaterialSame topicCultural Heritage Materials AnalysisFrench-language works237,207