Computer support for collaborative work in the construction industry
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
Collaborative work is an essential ingredient for success in the construction industry. With the advancements of capabilities of information technologies and communication infrastructures, the effective utilisation of these technologies has become very important and strongly affects business processes that have long followed traditional paths. In this paper we describe the main characteristics of the concept-modelling framework that is developed in the DesKs project on Design Knowledge services. Concept modelling gives end-users access to the schema of design models and provides a high level of flexibility for modelling. To support collaborative work, it provides remote data access and allows users to share resources that, instead of being exchanged or stored centrally, remain active at their source in tight relation with business processes. The main technical aspects of the concept-modelling framework are discussed. Object version control and timeline management of revisions of objects are used to increase the integrity between objects that are accessed and edited by multiple users across a network.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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