Moving from production to services: A built environment cluster framework
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.
Bibliographic record
Abstract
The construction industry is no longer focused on providing a single product - i.e. a building or a physical infrastructure, but a variety of services and improvement to the human environment. Major trends such as Performance-based Building as well as Sustainable Built Environment are calling for major changes. These changes mean additional roles for the industry as well as the need for new indicators to measure its performance and its economic impact. This paper proposes a new approach based on the development of a framework for the analysis of the entire construction and property sector - the “built environment cluster”. It extends the analysis of an international study based on nine countries -Australia, Canada, Denmark, France, Germany, Lithuania, Portugal, Sweden, and the United Kingdom. The need for improving statistical data is stressed particularly in the context of enlarging the scope of the industry. This new approach provides an excellent starting point for developing new performance indicators that will take into account the changing nature of the industry, for an integrative perspective providing a basis for strategic management, for studying sustainable development in construction and for understanding innovation processes and changes. A comprehensive perspective of the industry performance is crucial for policy initiatives as well as for strategic analysis of firms. © 2006, Taylor & Francis Group, LLC. All rights reserved.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it