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Record W2070234480 · doi:10.17831/enq:arcc.v9i1.62

The prequalified competition - how are architects appointed to invited architectural competitions?

2012· article· en· W2070234480 on OpenAlexaff
Magnus Rönn

Bibliographic record

VenueEnquiry The ARCC Journal for Architectural Research · 2012
Typearticle
Languageen
FieldEngineering
TopicDesign Education and Practice
Canadian institutionsRoyal Ottawa Mental Health Centre
Fundersnot available
KeywordsCompetition (biology)NegotiationEngineeringProcess (computing)Selection (genetic algorithm)Engineering managementMedical educationSociologyComputer scienceMedicineArtificial intelligence

Abstract

fetched live from OpenAlex

This article presents results from a study of prequalification in architectural competitions. The aim is to develop knowledge of how the organizer appoints candidates to invited competitions. Prequalification is a selection procedure used early in the competition process to identifysuitable candidates for the following design phase. Usually three to six teams are invited to develop design proposals. The overall research question in the study is about how organizers identify architects / design teams for competitions with limited participation. The methodology includes an inventory of competitions, case studies, document review and interviews of key-persons. Ten municipal and governmental competitions have been examined in the study. There are 375 applications from design teams in the competitions. 43 architect firms/teams (11 %) have been invited. In five of the ten competitions 19 informants have reported their experiences of prequalification. The informants responded to an interview guide with questions on the background of the competition, development of the invitation, and the need for information about the candidates, assessment process and experience from the selection of architects / design teams. The invitation emerges during negotiation at the organizing body, which includes discussion with the Swedish Association of Architects.General conditions, submission requirements and criteria for the evaluation of applications by architect firms are part of an established practice. All clients have an assessment procedure made up of two distinct stages. First they check whether applications meet the specific "must requirements” in the invitation. Thereafter follows an evaluative assessment of the candidate's professional profile, which is based on the criteria in the invitation. Reference projects and information from the referees are important sources of information in this stage. Decisivein the final assessment is the organizer's perception of the candidates' ability to produce projects of architectural quality, the ability to combine creative solutions with functional requirements and aptitude to work with developers and contractors.

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)0.032
metaresearch head score (Gemma)0.094
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.038
Threshold uncertainty score0.172

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0320.094
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0150.006
Scholarly communication0.0100.005
Open science0.0030.006
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0100.002

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 head0.160
GPT teacher head0.411
Teacher spread0.251 · 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 designQualitative
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

Citations1
Published2012
Admission routes1
Has abstractyes

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