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Record W603957460

Shakespeare in the garden : a selection of gardens and an illutrated alphabet of plants

2006· book· en· W603957460 on OpenAlexaboutno aff
Mick Hales

Bibliographic record

VenueAbrams eBooks · 2006
Typebook
Languageen
FieldSocial Sciences
TopicOttoman Empire History and Society
Canadian institutionsnot available
Fundersnot available
KeywordsAlphabetArtSelection (genetic algorithm)Visual artsArt historyGeographyArchaeologyPhilosophyComputer scienceLinguisticsArtificial intelligence
DOInot available

Abstract

fetched live from OpenAlex

For in the Garden, fourteen gardens in England, the United States and Canada have been photographed by Mick Hales, one of the premier landscape photographers of our day. They include Shakespeare's own gardens as well as the three great restorations of major Elizabethan properties created by the Dowager Countess of Salisbury, and gardens in the United States and Canada that were inspired by and dedicated to the Bard. Hales describes each garden in detail and fills in the history of its creation. There is also an Illustrated Alphabet of Plants, which includes more than eighty flowers, herbs, shrubs and trees that Shakespeare mentions in his plays. Each photograph is accompanied by a substantial quotation from one of the plays in which it is mentioned and is introduced with a sentence or two setting the scene. The combination of glorious gardens and the words of the Bard offers many pleasures for lovers of gardens and lovers of Shakespeare's immortal plays.

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)0.000
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: Other · Consensus signal: Other
Teacher disagreement score0.054
Threshold uncertainty score0.107

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0290.006

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 head0.022
GPT teacher head0.275
Teacher spread0.253 · 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
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
Published2006
Admission routes1
Has abstractyes

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Same venueAbrams eBooksSame topicOttoman Empire History and SocietyFrench-language works237,207