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Record W4385281735 · doi:10.1515/9780773569836

Leonard and Reva Brooks

2001· book· en· W4385281735 on OpenAlexaboutno aff
John Virtue

Bibliographic record

VenueMcGill-Queen's University Press eBooks · 2001
Typebook
Languageen
FieldArts and Humanities
TopicLiterature, Film, and Journalism Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsPsychoanalysisPsychology

Abstract

fetched live from OpenAlex

In 1947 Leonard and Reva Brooks left for Mexico where Leonard planned to study painting for a year. In Mexico they discovered a vibrant, sometimes even dangerous, society and a dynamic artistic community, unlike the mundane world they had left behind in Canada with its stale and unwelcoming artistic scene. Invigorated by their new environment Leonard and Reva ended up staying for over half a century, playing a key role in establishing San Miguel de Allende as a world-famous art colony. In this new biography, John Virtue chronicles the lives of these two important artists and offers an intimate look at these complex and creative people. Virtue describes how they were caught up in the McCarthy era of Communist witch hunts and blacklisted in the United States. He details their close friendships with luminary figures such as Marshall McLuhan, Earle Birney, and the Mexican art icon David Alfaro Siqueiros, as well as a host of others. As Leonard became a fixture in the Mexican art scene Reva's photography quickly garnered international recognition, applauded by photographers Ansel Adams and Edward Weston. In 1975 the San Francisco Museum of Art selected her as one of the top fifty female photographers of all time. With tales of deportations, shootouts, murder attempts, failures, and triumphs, Leonard and Reva Brooks is a biography of two creative people caught up in interesting times.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.841
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.017
GPT teacher head0.189
Teacher spread0.172 · 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 teacher head, not a consensus.

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

Citations1
Published2001
Admission routes1
Has abstractyes

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