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Record W4402298905 · doi:10.1515/9781988111469

Some Magnetic Force

2023· book· en· W4402298905 on OpenAlexaboutno aff
Lionel LeMoine FitzGerald

Bibliographic record

Venuenot available
Typebook
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMagnetic and Electromagnetic Effects
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Artist and educator Lionel LeMoine FitzGerald (1890–1956) was the only member of the Group of Seven, the iconic collective of Canadian landscape painters, who was based in Western Canada. Some Magnetic Force is the first collection to gather the surviving writings by the Winnipeg artist. Spanning from 1930 to 1954, the texts gathered here begin during the mature period of his artistic development at age forty and conclude with personal reflections late in life on the nature of art and his career. Michael Parke-Taylor has uncovered and chronologically organized FitzGerald’s letters, diary, lectures, and reports to show how FitzGerald understood the development of his practice, communicated the philosophy of art to his art students, confronted challenges in his career, and presented his spiritual aspirations, views about the natural world, and private desires. These writings also elucidate the material and reputational realities of artistic production in places beyond the period’s dominant Canadian art centers of Toronto, Montreal, and Ottawa. Including illustrations of his work and an introduction and notes that contextualize FitzGerald’s biography and social circles, Some Magnetic Force provides remarkable insights into the influences, interests, and innovations of the Group of Seven’s prairie artist.

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), 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 score0.028
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.005
GPT teacher head0.214
Teacher spread0.209 · 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
Published2023
Admission routes1
Has abstractyes

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