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Evolving cities into a sustaining and sustainable habitat

2004· article· en· W4206372294 on OpenAlexaboutno aff
Willem H. Vanderburg

Bibliographic record

VenueEkistics and the new habitat · 2004
Typearticle
Languageen
FieldEngineering
TopicSustainable Design and Development
Canadian institutionsnot available
Fundersnot available
KeywordsTechnology and societySociologyLibrary scienceSustainable developmentPolitical scienceMedia studiesManagementSocial scienceLaw

Abstract

fetched live from OpenAlex

The author teaches Engineering, Sociology and Environmental Studies on issues of how to deal with the social and environmental problems related to the use of technology. He is the director of the Centre for Technology and Social Development at the University of Toronto, one of 25 leading innovators recognized by the Canada Foundation for Innovation in 2002, editor-in-chief of the Bulletin of Science, Technology and Society, and president of the International Association for Science, Technology and Society. He is the author of The Growth of Minds and Cultures, The Labyrinth of Technology, and Living in the Labyrinth of Technology (University of Toronto Press 1985, 2000 and 2005 respectively). The text that follows is an edited and revised version of a paper presented at the international symposion on 'The Natural City, " Toronto, 23-25 June, 2004, sponsored by the University of Toronto's Division of the Environment, Institute for Environmental Studies, and the World Society for Ekistics.

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)0.000
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: Empirical · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.006
Scholarly communication0.0100.005
Open science0.0010.006
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.004
GPT teacher head0.190
Teacher spread0.186 · 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
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
Published2004
Admission routes1
Has abstractyes

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