E-PROCUREMENT IN THE ATLANTIC CANADIAN AEC 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
Based on the success achieved in other industries, there is the potential for the Architectural, Engineering, and Construction industry to achieve significant improvements in efficiency through the adoption of e-business methods and solutions. There are a variety of issues that must be considered in steering the industry toward these improvements. The issues stem from the root characteristics of the industry including: fragmentation, highly pragmatic, cost conscious, little institutional leadership, and no standards in technology and business models. This paper examines e-procurement as a subset of e-business in an effort to identify the issues surrounding the development of a critical mass of participants required to overcome the organizational and technology challenges. The issues are discussed in some detail followed by the presentation of some preliminary results from a survey which quantifies the current status of the industry in an attempt to support a strategy for progress.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 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