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Record W4229800832 · doi:10.32920/ryerson.14660988

Photography as exhibited in the Great Exhibition of the Works of Industry of All Nations, 1851

2021· preprint· en· W4229800832 on OpenAlexaff
Robin O'Dell

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldArts and Humanities
TopicPhotography and Visual Culture
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsExhibitionPhotographyGeorge (robot)Presentation (obstetrics)Visual artsSet (abstract data type)Library scienceArtArt historyComputer science

Abstract

fetched live from OpenAlex

The 1851 Great Exhibition of the Works of All Nations was the first world’s fair and the first time that photographs from around the world were exhibited together. To accompany the exhibition, the Royal Commissioners created a set of volumes that included an Official Catalogue and Reports by the Juries. These contain information explaining how the Exhibition was organized, descriptions of content, and annotations offered by experts in various fields. This thesis addresses the photographic information contained in the presentation set of these volumes held at George Eastman House’s Richard and Ronay Menschel Library. It includes a summary of the information pertaining to photography contained within these books, formatted into a concise and easily accessible reference source. In addition, it offers an analysis of some of this information. The topics include the formation of content, language and classification, photographic processes, and the controversy regarding the awarding of prize medals.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.021
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0020.002
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0210.004

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 head0.048
GPT teacher head0.281
Teacher spread0.233 · 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 designNot applicable
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
Published2021
Admission routes1
Has abstractyes

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