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Record W4407933891 · doi:10.1080/00393630.2025.2465954

Hazardous Hues: Identification of Arsenic Present in a Range of Colours Found on Historic Archival Material in the Collection of Parks Canada

2025· article· en· W4407933891 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueStudies in Conservation · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Heritage Materials Analysis
Canadian institutionsParks Canada
Fundersnot available
KeywordsArchaeologyIdentification (biology)Hazardous wasteHueArsenicRange (aeronautics)GeographyEngineeringMetallurgyComputer scienceWaste managementArtificial intelligenceMaterials science

Abstract

fetched live from OpenAlex

Since late 2019, Parks Canada has been active in the identification of hazardous materials in the collection under the care of the Indigenous Affairs and Cultural Heritage Directorate, using non-destructive XRF analysis. This method of analysis can detect elements of concern including lead, mercury, cadmium, and arsenic. In the case of arsenic, selected case studies show that arsenic is found in more places than initially expected. This paper outlines the XRF analysis of collections materials expected to be found in library and archives, and discusses the visual identification of arsenic, based on the colour of the material. Arsenic yellows (orpiment and/or realgar) were not positively identified in this survey, nor was cobalt violet (cobalt arsenate). A copper-arsenic green, likely emerald green, was occasionally detected. In addition, both a green ink distinct from typical arsenical greens, and dark reds were shown to contain varying levels of arsenic on paper artefacts during this survey. This paper posits the use of early synthetic organic pigments as an explanation for the presence of arsenic in the artefacts under investigation. Historical research indicates that aside from the colours green and yellow, arsenic can also be found in materials in the red and mauve colour families, from arsenic used in the synthesis of aniline dyes.

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.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.648
Threshold uncertainty score0.598

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)0.0000.000

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 head0.065
GPT teacher head0.293
Teacher spread0.228 · 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