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Record W2145099909 · doi:10.1039/b913911g

Monitoring the photographic process, degradation and restoration of 21st century Daguerreotypes by wavelength-dispersive X-ray fluorescence spectrometry

2010· article· en· W2145099909 on OpenAlexafffund
Eric Da Silva, Mike Robinson, Christopher A. Evans, Ana Pejović‐Milić, Darrick V Heyd

Bibliographic record

VenueJournal of Analytical Atomic Spectrometry · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Heritage Materials Analysis
Canadian institutionsToronto Metropolitan University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsThioureaChemistrySulfurThiosulfateAnalytical Chemistry (journal)FluorescenceNuclear chemistryEnvironmental chemistryOptics

Abstract

fetched live from OpenAlex

This study applied wavelength-dispersive X-ray fluorescence spectrometry (WDXRF), with its high spectral resolution, to monitor the photographic process, tarnishing and restoration of pristine Daguerreotypes made in the traditional 19th century fashion. The elemental changes upon restoration via thiourea treatment, were evaluated and compared to a method based on bulk electrolysis. The WDXRF system was found to successfully resolve all lines of interest including in the mercury-bromine-gold region. Sulfur, one of the main components of tarnish, was removed efficiently from the surface of the Daguerreotype when restored by electro-cleaning. Restoration by thiourea immersion removed sulfur from the surface of the Daguerreotype to a point at which the residual sulfur was equivalent in content to the residue left after gilding (i.e. from thiosulfate). Thiourea treatment was found to remove a significant amount of gold from the surface of the Daguerreotype, which may explain the sometimes observed dullness imparted to the Daguerreotype after restoration with thiourea. Also, Daguerrian measles were found to accumulate on thiourea treated plates versus those cleaned by electro-cleaning which ultimately negatively imparts further artefacts to the image after restoration.

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)0.001
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 score0.360
Threshold uncertainty score0.863

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
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 head0.013
GPT teacher head0.238
Teacher spread0.226 · 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

Citations19
Published2010
Admission routes2
Has abstractyes

Explore more

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