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Record W618766749

Early Modern British Painters, c. 1500-1640

2015· dataset· en· W618766749 on OpenAlexaboutno aff
Robert Tittler

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2015
Typedataset
Languageen
FieldArts and Humanities
TopicHistorical Art and Culture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPaintingResidenceIdentity (music)Art historyHistoryGenealogyArtClassicsVisual artsSociologyDemography
DOInot available

Abstract

fetched live from OpenAlex

This resource identifies all those men and women who have been identified as painters of any sort working in England, Wales, Scotland or Ireland between the years 1500 and 1640. It includes those who were native to the British Isles and also those strangers who came and worked there at any time during this era. It also includes those whom contemporary occupational descriptions refer to as pursuing any specialty within the general category of 'painter' including, e.g., 'limner', 'picture-painter', 'glass-painter', 'herald painter', 'manuscript illuminator', etc. Each entry indicates, wherever possible, names with alternate spellings, places of origin and of residence, contemporary occupational description, dates of life and/or of activity, details of training, known works, and general biographical information. Each entry is also accompanied by a list of sources for further reference, and by the identity of those who researched that name. 
\n
\nThis edition replaces that of July, 2018. It contains 2,786 entries, seventy-four of which are new, plus additions or corrections to nearly three hundred other entries, all of which are drawn from research in London and several counties. 
\n
\nRobert Tittler is Distinguished Professor of History Emeritus at Concordia University, Montreal, and Fellow of the Royal Society of Canada. He welcomes additions, corrections, queries and comments, all of which may be sent to: robert.tittler@concordia.ca.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.277
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0020.002
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.045
GPT teacher head0.249
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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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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