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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 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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.694
Threshold uncertainty score0.994

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.000

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 head0.014
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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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

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