Defining a value map for communication technologies in the Canadian construction industry
Bibliographic record
Abstract
In North America, the Construction Industry has been slow to recognize the importance of utilizing Information Communication Technologies (ICT). This research paper identifies and develops a value map based on a list of generic Information Needs and Requirements for the effective uses of ICT in the Construction Industry. A survey of 43 Canadian Construction firms specializing in the ICI/Residential and Heavy Civil sectors was conducted to collect current and relevant data of the "True" Industry needs. The paper developed a model which included three main elements; Contexts, Information Needs, and Industry Utility. Based on the analysis of the elements two additional features of ICT were defined, they were Drivers for ICT use, and a Value-Function of ICT tools. The conclusion identifies three fundamental barriers of the usability for more advanced ICT tools and discusses the attempt of providing support for the widespread use of ICT via the developed value model.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.009 | 0.008 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".