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Record W1508219686 · doi:10.20381/ruor-11154

Lawren Harris: A theosophist who painted.

2002· dissertation· en· W1508219686 on OpenAlexaboutno aff
Dawn. Ambler

Bibliographic record

VenueuO Research (University of Ottawa) · 2002
Typedissertation
Languageen
FieldArts and Humanities
TopicReligious Studies and Spiritual Practices
Canadian institutionsnot available
Fundersnot available
KeywordsArtArt historyVisual arts

Abstract

fetched live from OpenAlex

Lawren Harris, the well-known Canadian painter, was also a prominent member of the International Theosophical Society. Usually his theosophical ties are considered secondary to his occupation as a painter. Most art critics and art historians who have written about him have focused on the role he played with the Group of Seven and the paintings he produced during that period, taking his abstract work as a consequence of his aesthetic evolution and linking it symbolically with his earlier landscapes. Other art historians have acknowledged that Theosophy might have influenced Lawren Harris's painting, and they attempt to read theosophical representations in the images he produced. Looking at Lawren Harris from the perspective of Religious Studies, this thesis first examines the nature of Harris's involvement with Theosophy and the tenets of Theosophy in his time. Then, on the basis of his writings (which constitute a large part of his legacy, since he left behind articles, lectures, letters, a book, exhibit reviews and an unfinished manuscript) as well as his paintings, this thesis proposes that Lawren Harris was a deeply religious man who used painting as a tool in his own quest for the sacred. This quest, informed by theosophical principles as interpreted by Lawren Harris, led him to perceive his paintings not as illustrations, not as symbols, not even as theosophical representations, but as a disciplined experience of the Divine, a spiritual practice.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
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 score0.363
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.100
GPT teacher head0.308
Teacher spread0.208 · 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

Citations0
Published2002
Admission routes1
Has abstractyes

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