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Record W4381738674 · doi:10.32920/23563584.v1

On Boundaries And Apertures: Drawing A Vulnerable + Intimate Architecture

2023· preprint· en· W4381738674 on OpenAlexaff
Maya Orzechowska

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicLiterature, Language, and Rhetoric Studies
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsRealmUncannyArchitectureNarrativeAestheticsVulnerability (computing)PoliticsSociologySubject (documents)Relation (database)Gender studiesPolitical scienceArtVisual artsLiteratureLawComputer scienceComputer security

Abstract

fetched live from OpenAlex

The boundaries and apertures of home are not separate from but play an active role in a politics of body and social body health. As both the idea of home and housing fail increasing numbers of people, this thesis seeks alternatives to home’s narrative of utopic internal intimacy that endorses retreat and a relationship of non-responsibility vis à vis the public realm. It suggests the result is dystopic in its concealment and exacerbation of vulnerability and its resistance to change. Instead, a vulnerable and intimate architecture centers the vulnerable body to uncover unique, pluralistic, personal intimacies. To draw out the uncanny, repressed and emotional in home, Five Principles are proposed based on Corbusier’s calibration of the subject and values of modern architecture. It seems time to reevaluates architecture’s inside and outside, to speculate on new homes and new understanding of self in relation one’s neighbours, in the broadest sense.

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)0.005
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: Other · Consensus signal: Other
Teacher disagreement score0.013
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0130.081
Scholarly communication0.0120.021
Open science0.0010.012
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0040.001

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 head0.026
GPT teacher head0.319
Teacher spread0.293 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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