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Record W4387939943 · doi:10.1201/9781003260554-51

Bertrand Russell on architecture; between territorialization and place-making

2023· book-chapter· en· W4387939943 on OpenAlexfundno aff
Leonor Sampaio da Silva

Bibliographic record

VenueTime and space · 2023
Typebook-chapter
Languageen
FieldPsychology
TopicPhenomenology and Existential Philosophy
Canadian institutionsnot available
FundersFundação para a Ciência e a TecnologiaFederation for the Humanities and Social Sciences
KeywordsArchitectureHistoryComputer scienceArchaeology

Abstract

fetched live from OpenAlex

On the occasion of the 150th anniversary of the birth of Bertrand Russell, this paper aims to highlight his views on Victorian architecture. Russell was a key figure in 20th-century European culture, and his thought was deeply molded by Victorian ideals, even if he would later reject most of them. There was one conviction, though, that he kept throughout his life – the possibility of creating a better world in which humanity could live happily. After some introductory remarks on space, territory and place, we will describe Victorian cities and provide a synthesis of Utopian urban planning, followed by an analysis of Russell’s essay “Architecture and Social Questions.” This text reflects on the conditions that may permit future social change, creating a nexus between space and time, present spatial conditions, future transformations and a political vision for the years to come. As is the case with many of Russell’s writings, one senses a Utopian appeal reverberating throughout the pages. However, this appeal is not mere daydream, as he lays out the practicality of his vision. Well aware of the several functions of spatiality, Russell entertains both the notions of territorialization and placemaking as a means to bring about the desired reform.

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)0.001
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 score0.036
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.015
Scholarly communication0.0040.004
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.031
GPT teacher head0.276
Teacher spread0.245 · 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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