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Record W4210789053 · doi:10.5206/tba.v3i1.13858

Scaling the Imagination: The Creation of the Subject-Object Divide in Visual Perception and Landscapes

2021· article· en· W4210789053 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuetba Journal of Art Media and Visual Culture · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicUrban Planning and Landscape Design
Canadian institutionsnot available
Fundersnot available
KeywordsSubjectivityObjectivity (philosophy)Subject (documents)Object (grammar)PerceptionAestheticsSociologyMeaning (existential)EpistemologyNegotiationComputer scienceArtArtificial intelligencePhilosophySocial science

Abstract

fetched live from OpenAlex

This paper unpacks the history of seeing and the separation of subjectivity from objectivity in order to establish a framework for landscape and architectural design interventions on large scales. As perception shifted from an act of subjective creation of meaning to one operating under the auspices of empiricism, a chasm opened between the observer and the observed. Instead of locating the meaning of the observed object within the subject, perception for Moderns became an act of describing the world as-is. The resulting proliferation of descriptions of large-scale, interrelated ecological and urban systems became unintelligible to the human imagination, becoming metaphorical “giants” in our cultural and artistic realms. In the process, the world has became both more distant and seemingly more conquerable. The author suggests confronting the limits of the imagination through exercises in scales in order to negotiate the increasing distance between subject (human observers) and object (the natural and built world).

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.173
Threshold uncertainty score0.122

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 studies0.0000.000
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 head0.008
GPT teacher head0.253
Teacher spread0.246 · 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