MétaCan
Menu
Back to cohort
Record W4416897678 · doi:10.1515/9781772128079

Harley Parker

2025· book· W4416897678 on OpenAlexaboutno aff
Gary Genosko

Bibliographic record

VenueUniversity of Alberta Press eBooks · 2025
Typebook
Language
FieldArts and Humanities
TopicCybernetics and Technology in Society
Canadian institutionsnot available
Fundersnot available
KeywordsExhibitionRealmPerformance artPerspective (graphical)Value (mathematics)Modern art

Abstract

fetched live from OpenAlex

This is the first book about the life and work of Harley Parker (1915-1992), Canadian museum exhibition designer, typographer, and painter. As friend and collaborator of media luminary Marshall McLuhan, Parker’s influence extended far beyond the realm of art. In this groundbreaking intellectual biography, Genosko shows that Parker’s unique perspective on museums is based on his application of McLuhan’s medium theory to exhibition design. His emphasis on the role of the senses anticipated much of contemporary sensory studies, which will bring his work into focus for a new generation of scholars. A highlight of Parker’s career as Head of General Display at Toronto’s Royal Ontario Museum (1957-1968) was his Hall of Invertebrate Fossils, which opened to considerable acclaim in early 1967. That same year he mounted a multimedia gallery at the Museum of the City of New York. These milestones underscore Parker’s profound impact on museum studies and communication theory. Central to this comprehensive study is the rediscovery of Parker’s lost manuscript, The Culture Box , which would have confirmed his role as a central figure in the Toronto School of Communication had it not been lost for some fifty years. Scholars in communication, cultural, and museum studies will benefit from this exploration of Parker’s thought, as will those interested in sensory studies and the enduring value of McLuhan’s ideas.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.077
Threshold uncertainty score0.259

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0040.003
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0770.026

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 head0.183
Teacher spread0.166 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueUniversity of Alberta Press eBooksSame topicCybernetics and Technology in SocietyFrench-language works237,207