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Record W2083603349 · doi:10.1017/s0007087403005053

Looking at the sky: the visual context of Victorian meteorology

2003· article· en· W2083603349 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.

Bibliographic record

VenueThe British Journal for the History of Science · 2003
Typearticle
Languageen
FieldArts and Humanities
TopicHistory of Science and Natural History
Canadian institutionsYork University
Fundersnot available
KeywordsContext (archaeology)Visual cultureSkySubject (documents)Period (music)MeteorologyHistorySociologyVisual artsGeographyAestheticsComputer scienceArtLibrary scienceArchaeology

Abstract

fetched live from OpenAlex

This article investigates visual methods in Victorian meteorology in the second half of the nineteenth century. While studies of visual representations in scientific work during this period have proliferated, there has been less attention paid to the relationships between scientific images and the broader visual culture in which they developed. Meteorology offers ideal ground for exploring visual culture and science, both because of the familiarity of the sky as an aesthetic subject, and because of the visual epistemology associated with popular forms of weather knowledge, called weather wisdom. Using examples from the study of clouds, especially the work of Charles Piazzi Smyth, the paper analyses the ways in which the challenges of meteorology raised questions about the nature of observation and precision. It concludes by suggesting that the broader context of Victorian visual culture must include the relationship of language and images, and traces those concerns in the history of cloud classification.

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)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.511
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0100.025
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.000
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 head0.031
GPT teacher head0.246
Teacher spread0.215 · 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