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Record W7019956285

The Intensification of Photographs: Observations from Recent Research and Practice

2015· article· en· W7019956285 on OpenAlexaboutno aff

Bibliographic record

VenueSyracuse University Libraries (Syracuse University) · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicConservation Techniques and Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGeorge (robot)White (mutation)State (computer science)Graduate studentsEmancipation
DOInot available

Abstract

fetched live from OpenAlex

Conservator Gary Albright presented a lecture and workshop entitled “The Intensification of Photographs: Observations from Recent Research and Practice,” for the annual installment of the Brodsky Series for the Advancement of Library Conservation. The lecture and workshop focused on the preservation of historical black and white photographic prints. As cultural objects, photographs require special care. They react aggressively to the climate and can suffer from inherent problems as a result of their chemical composition. Albright’s program familiarized participants with the construction and unique problems of photographs and offer practical advice on their preservation. He also covered current storage standards and factors to consider when preparing a photographic exhibition. Albright is a conservator of paper and photographs in private practice. During his career, he has treated a diverse array of objects, including the Emancipation Proclamation, a Honus Wagner baseball card, Ansel Adams’ photographs and working drafts of the U.S. Constitution. He is a graduate of the Winterthur Museum/University of Delaware Program in Art Conservation. He has served as conservator at the George Eastman House in Rochester, N.Y., where he taught in the advanced residency program for photograph conservators, and as senior paper and photograph conservator at the Northeast Document Conservation Center, Andover, Mass. Albright has been a visiting professor at the State University of Buffalo, the University of Delaware and Queen’s University in Kingston, Ontario. See more on the Brodsky Series Page at: https://library.syr.edu/scrc/programs/brodsky.php

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)0.044
metaresearch head score (Gemma)0.072
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.044
Threshold uncertainty score0.231

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0440.072
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.006
Science and technology studies0.0090.015
Scholarly communication0.0090.011
Open science0.0040.008
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0060.001

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 head0.329
GPT teacher head0.278
Teacher spread0.051 · 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 designObservational
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
Published2015
Admission routes1
Has abstractyes

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