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Record W2923938783 · doi:10.6666/contour.v1i2.63

Connecting the Dots: How Digital Culture Is Changing Urban Design

2016· article· en· W2923938783 on OpenAlexaff
Guillaume Éthier

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicUrban Design and Spatial Analysis
Canadian institutionsMcGill University
Fundersnot available
KeywordsUrbanityVisionAgency (philosophy)IdeologyNormativeSet (abstract data type)SociologyProduct (mathematics)EpistemologyAestheticsSpace (punctuation)Environmental ethicsLaw and economicsPublic relationsPolitical scienceComputer scienceEngineeringLawSocial scienceMathematicsLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

The topic of agency in cities brings up a fundamental question that urban thinkers have been dealing with for a long time: to what extent does the physical form of the city influence the way people behave? How exactly, in other words, do urban forms act in themselves as of urbanity? We know that the relationship between people and their physical environments is not purely mechanical and could never be reduced to a simple functionalist explanation. A change in a city square's furniture, for example, will not deeply affect the way its users experience it. On the other hand, space is never neutral, and the discussion on agents as systems that are active, distinguished from their environment, and acting according to a predefined set of goals (Barandiaran, Di Paolo, Rohde, 2009) opens up the very possibility that urban forms might be considered themselves. Barandiaran et al. raised this issue when they asked if a niche could be regarded as an agent (Ibid, p.10). Although it is not a living system per se, it is the product of living (a colony of beavers, for example), and its capacity to provide its inhabitants the comfort and protection required to sustain the existence of the system (the colony itself) is the measure of its success. Urban forms act in a similar way in regards to urbanity. Created by numerous groups of following different sets of goals, visions and ideologies, they suggest a certain use that, even when faced with the possibility of normative rejection, makes them of change in the way people use and understand the city. The form of public spaces, in that sense, does impose certain barriers and openings that, for better or worse, affects the life between buildings as Jan Gehl (1987) would have put it.

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)0.004
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.020
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0070.027
Scholarly communication0.0200.020
Open science0.0020.010
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0110.001

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 head0.014
GPT teacher head0.173
Teacher spread0.159 · 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 designTheoretical or conceptual
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".

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Citations3
Published2016
Admission routes1
Has abstractyes

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