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2011· article· en· W173201995 on OpenAlexaff
John Foot, Renato Leão Rego, Filippo De Pieri, Johnathan Farris, R J Shaw, Sara González, Andrew W. Kahrl, Nicholas Bloom, Matthew Gordon Lasner, Claudia Meschiari, Alexandra Fanghanel, Mary Lou Lobsinger, W. I. Jenkins, Anthony Macías

Bibliographic record

VenuePlanning Perspectives · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicUrbanization and City Planning
Canadian institutionsYork UniversityUniversity of Toronto
Fundersnot available
KeywordsBlueprintApartmentCapital (architecture)Corporate governanceAdministration (probate law)Competition (biology)Public administrationPolitical scienceEconomic historyHistoryManagementLawArtVisual artsArchaeologyEconomics

Abstract

fetched live from OpenAlex

Click to increase image sizeClick to decrease image size Notes M9: A New Museum for a New City. International Architectural Competition, special supplement to ‘Casabella’, no. 793 (2010). As this book notes, the terminology for hired vehicles varies according to the variations of English and local differences in regulatory and hiring practices. Here, taxi is used in the broadest sense possible, to refer to all types of motorized vehicles which are hired with a driver for single journeys. See page 103 in D. Hobbs, P. Hadfield, and S. Lister, Bouncers: Violence and Governance in the Night-Time Economy (Oxford: Oxford University Press, 2003). Jennifer S. Light, From Welfare to Warfare: Defense Intellectuals and Urban Problems in Cold War America (Baltimore: The Johns Hopkins University Press, 2003). D. Bradford Hunt, Blueprint for Disaster: The Unraveling of Chicago Public Housing (Chicago: University of Chicago Press, 2009); Laura Bobeczko and Richard Longstreth, ‘Housing Reform Meets the Marketplace: Washington and the Federal Housing Administration's Contribution to Apartment Building Design, 1935–40’, in Housing Washington: Two Centuries of Residential Development and Planning in the National Capital Area, ed. Richard Longstreth (Chicago: The Center for American Places at Columbia College Chicago, 2010).

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: Other · Consensus signal: none
Teacher disagreement score0.860
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 communication0.0000.000
Open science0.0000.000
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 head0.116
GPT teacher head0.346
Teacher spread0.230 · 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
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

Citations1
Published2011
Admission routes1
Has abstractyes

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