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Record W2771287121 · doi:10.17742/image.ma.8.3.11

The Designscapes of Harley Parker: Print and Built Environments

2017· article· en· W2771287121 on OpenAlexafffundvenueabout
Gary Genosko

Bibliographic record

VenueImaginations Journal of Cross-Cultural Image Studies · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicArchitecture, Design, and Social History
Canadian institutionsOntario Tech University
FundersUniversity of Toronto
KeywordsHistory

Abstract

fetched live from OpenAlex

In this paper I present two views of Harley Parker, Marshall McLuhan’s longstanding collaborator. In the first I underline how Parker’s training in the arts as a typographic designer was put to work on the print projects for which he is best known, namely, on the original series of Explorations. I debate the claim that his work on Explorations 8 was not his own, and in this phase of argument I draw upon the legacy of other notable designers working in Toronto, namely, Allan R. Fleming of Cooper & Beatty Inc., the developers and promoters of Flexitype. Second, I resituate Parker’s link to installation and performance art in Canada by following the line established by his eldest son Blake Parker as resident poet of the experimental electronic band Intersystems, whose activities in 1967-68 included installations and performances at Perception 67 on the University of Toronto campus. The Mind Excursion psychedelic maze had its debut a few weeks after Harley Parker’s Hall of Fossils opened at the Royal Ontario Museum and marks the group’s origin proper. The connection between father and son is explored through the influences of elder Parker’s artistic proclivities as a painter, typographer, exhibition designer, critic, his collaborations with Marshall McLuhan, and the blend of McLuhan’s ideas, psychedelia, and kinetic art that animated Intersystems.

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)0.004
metaresearch head score (Gemma)0.006
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.020
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.029
Scholarly communication0.0140.010
Open science0.0010.008
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0080.001

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 head0.067
GPT teacher head0.381
Teacher spread0.313 · 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
GenreEmpirical

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
Published2017
Admission routes4
Has abstractyes

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Same venueImaginations Journal of Cross-Cultural Image StudiesSame topicArchitecture, Design, and Social HistoryFrench-language works237,207