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Record W4246481645 · doi:10.32920/ryerson.14662146

Fragments: A Poetic Approach To Place-Making

2021· preprint· en· W4246481645 on OpenAlexaff
Ekaterina Lishak

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldArts and Humanities
TopicArchitecture and Cultural Influences
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsMateriality (auditing)AestheticsCommodificationPoeticsArchitectureSense of placeSociologyContext (archaeology)TemporalitiesRegionalism (politics)TemporalityPoetryEpistemologyArtVisual artsHistoryPoliticsLiteraturePhilosophySocial science

Abstract

fetched live from OpenAlex

The notion of regional particularity and sensitivity to place remains in constant struggle with the persistent autonomous approach evident in most contemporary architecture, which under the pressures of globalization has paved the path toward commodification and the creation of universal non-places. Meanwhile the decline of craftsmanship within architecture and the perpetual emphasis on visual images and iconic forms continues to undermine human connection to the built environment. The use of Fragments in architectural design involves a distinct understanding of perception of space that takes its theoretical basis in the communicative and situational character of Synthetic Cubism and Picturesque Landscape theory. Brought into an architectural context, these theories work in contrast to the rational approach based on proportion and perspectival imagery, bringing focus towards the experience of the body moving through space with emphasis on the poetics of construction, materiality, corporeal experience, and details that express craftsmanship, meaning, and emotion. Guided by Kenneth Frampton’s theory of Critical Regionalism with the aim of resisting placelessness, the nature of such tectonic articulation is informed by the context and specificity of a site.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.888
Threshold uncertainty score0.997

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 communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.055
GPT teacher head0.266
Teacher spread0.211 · 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
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

Citations0
Published2021
Admission routes1
Has abstractyes

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