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Record W1979987888 · doi:10.1080/0144619032000111232

Innovation in clean-room construction: a case study of co-operation between firms

2003· article· en· W1979987888 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueConstruction Management and Economics · 2003
Typearticle
Languageen
FieldDecision Sciences
TopicConstruction Project Management and Performance
Canadian institutionsCarleton University
Fundersnot available
KeywordsLiminalityMultinational corporationNegotiationBusinessProcess (computing)Function (biology)Construct (python library)Flexibility (engineering)WorkspaceIndustrial organizationKnowledge managementManagementFinanceSociologyEconomicsComputer science

Abstract

fetched live from OpenAlex

This study examines partnering between a large client, multinational contractors and specialist suppliers, and local subcontractors involved in a project to construct clean room facilities. An ethnographic approach is used, which demonstrates the changing attitudes, values and the new working arrangements that emerged. The social bond of a ‘construction challenge’ was the basis of trust and sharing risk in a ‘quasi-fixed network’. In place of formal contracts, ongoing bargaining and continuous negotiation took place. However, the client was seen to dominate the construction process. Shared workspaces or ‘liminal zones’, betwixt and between firms, were created to allow collaboration. These are argued to be a practical organizational approach to sharing information and co-ordinating inter-firm activities. Among trades, agreements were struck to exchange training and apprenticeships for allowing foreign specialists and equipment to be imported by the high-purity gas supplier. Liminal zones appear to function as on-the-job classrooms for rapidly training workers in unfamiliar construction techniques and systems.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.549
Threshold uncertainty score0.757

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.092
GPT teacher head0.337
Teacher spread0.244 · 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