MétaCan
Menu
Back to cohort
Record W7115807079

Applying Atmospheric Chemistry to Art Conservation in the Laboratory and the Classroom

2025· dissertation· en· W7115807079 on OpenAlexaboutno aff

Bibliographic record

VenueMacSphere (McMaster University) · 2025
Typedissertation
Languageen
FieldArts and Humanities
TopicConservation Techniques and Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCultural heritageContext (archaeology)ConservationScience educationConservation scienceEnvironmental education
DOInot available

Abstract

fetched live from OpenAlex

There are millions of art and cultural heritage objects displayed and stored across Canada, which have historical, cultural, and aesthetic importance to the Canadian people and the world. Cultural heritage is chemically complex and reactive with its environment; its conservation over decades and centuries has necessitated research in materials science and environmental chemistry. In the course of better understanding how cultural heritage degrades, conservation scientists have identified gaps of fundamental chemical knowledge in their research projects that may be challenging to answer in conservation laboratories, but that atmospheric and analytical chemists are equipped to address. In this thesis, I aimed to apply analytical and atmospheric chemistry techniques to further understanding of conservation science research questions and foster increased collaboration between these two fields. In the first project, I apply art conservation science as a context for chemistry education in the development of “Chemistry in the Art Gallery,” a week-long module teaching environmental chemistry to non-chemistry undergraduate students. In addition to providing students a holistic overview of conservation research, this module gave students hands-on opportunities to study museum-relevant reactions and helped them foster a connection with a local museum by examining art from both aesthetic and chemical perspectives. In the second project, I model the morphology dependence of titanium dioxide-catalyzed photodegradation of acrylic paint surfactants. This photodegradation has been identified on mid-century acrylic artworks and is an area of concern and further study for acrylic conservation scientists. Here, I show that this reaction proceeds rapidly in the presence of anatase, but is slower in rutile and coated pigments, which suggests that art objects with anatase are more susceptible to this reaction. I also investigate the wavelength dependence of the photodegradation to further assess conditions under which it may be suppressed. In the third project, I characterize the effect of material suitability test parameters on emission profiles from museum-relevant construction materials. These are used to construct enclosures to house cultural heritage objects, and conservation scientists artificially age them at elevated conditions to determine if the volatile species they emit pose risk to heritage materials. In this work, I show that museum-relevant species are affected by changes to temperature and humidity, and that the high heat, high humidity environments of the artificial aging test may lead to under-sampling of relevant water-soluble pollutants. I also show how sample age, material manufacturer, and sample preparation can affect the emission profiles obtained. Conservation science is a complex, multifaceted field of research, and analytical and atmospheric chemists can make meaningful contributions to this field’s research through collaboration with conservation scientists. This thesis provides key insights into chemical processes relevant to understanding and preventing heritage degradation, which will enable conservation scientists to develop better methods to preserve art and cultural heritage.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0030.003
Scholarly communication0.0060.004
Open science0.0030.006
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0150.003

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 head0.014
GPT teacher head0.199
Teacher spread0.185 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueMacSphere (McMaster University)Same topicConservation Techniques and StudiesFrench-language works237,207