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Record W2780836481 · doi:10.12697/bjah.2017.14.04

Carl Julius Senff (1804–1832) – ein Kurzes Künstlerleben als Architekt, Zeichner und Grafiker

2017· article· en· W2780836481 on OpenAlexaff
Gerd-Helge Vogel

Bibliographic record

VenueBaltic Journal of Art History · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Architecture and Urbanism
Canadian institutionsVernon Seed Orchard Company (Canada)
Fundersnot available
KeywordsArt historyArtPeriod (music)FellArchitectureClassicsVisual artsCartographyAesthetics

Abstract

fetched live from OpenAlex

Carl Julius Senff was a talented artist with wide-ranging knowledge of art and architecture, who first received art lessons from his father Carl August Senff in Tartu. From 1823 to 1827, Carl Julius Senff studied philosophy at the University of Tartu and illustrated several publications while still a student. For example, in 1825 he published a textbook on perspective called Perspective für Landschaftsmaler zum Selbststudium.Although Carl Julius Senff’s life was cut short, he was still able to travel extensively. In 1829, he travelled to Jena for three years where he acquired a doctoral degree in philosophy. His earliest drawings also date from this period and, based on them, we can also partially reconstruct the route of his travels. From Jena, he travelled to Prague, Vienna and Munich. In 1831, he travelled to Italy where he lived in Rome. The young artist and scholar was destined to become the new professor of architecture at the University of Tartu but, unfortunately, Carl Julius Senff fell ill during his last trip and died in Milan.The article is based to a great degree on unpublished archival documents as well as the personal correspondence of Carl Julius Senff and his father Carl August Senff.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.030
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0030.003
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.004

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 head0.040
GPT teacher head0.245
Teacher spread0.204 · 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
Published2017
Admission routes1
Has abstractyes

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