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Record W4408886013 · doi:10.3366/soma.2025.0450

McLuhan's Mid-Century Urbanism Now: Creating Sensory Environments with Machinic and Computational Technologies

2025· article· en· W4408886013 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSomatechnics · 2025
Typearticle
Languageen
FieldEngineering
TopicArchitecture and Computational Design
Canadian institutionsUniversity of Winnipeg
Fundersnot available
KeywordsUrbanismAestheticsSociologyArtVisual artsArchitecture

Abstract

fetched live from OpenAlex

As computational media has receded from the forefront of urban imaginaries, there has been a swing to promoting ethical and cultural values and eco-consciousness, as if these are divided claims. Putting the two together, this essay argues for acknowledging the role of media in urban environments so that it can be adjusted to enhance life and embellish relational networks. Mid-century, Marshall McLuhan saw media as having overtaken nature, anticipating what many contemporary scholars refer to as the Anthropocene. For him, the death of nature meant it was time to address questions of how best to monitor and deliver media, especially in urban landscape structures that need to be designed to stimulate sentience and enable new forms of citizen involvement. He warned against accelerant technologies built to serve government and corporate interests and advised seeking adaptations to suit local environments and human needs. His relational and ecological view assumed that innovation had intersectional environmental impacts: changing any one thing meant changing everything. McLuhan's theory and strategies push back against paternalistic stewardship in calling for urban structures to be arranged to stimulate sentience and designed for citizen involvement.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.651
Threshold uncertainty score0.566

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.004
GPT teacher head0.191
Teacher spread0.187 · 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