e-Society: A Community Engagement Framework for Construction Projects
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
A majority of construction projects often have a significant impact on the surrounding neighbourhoods and the environment at large. In city scale infrastructure projects, this impact can be detrimental to project success. The affected populations often have concerns and more importantly local knowledge relevant to the project. Capturing and integrating this feedback enhances project sustainability. This integration is a feature of smart city initiatives that have increased collaboration between regulatory bodies and project planners. However, the community has not been able to effectively engage in this process. Accordingly there is a need to facilitate two-way communication to promote community involvement beyond the capabilities of a smart city; this will be achieved through e-Society. An e-Society boosts citywide sustainability by contributing to an expanding pool of knowledge. This research investigates the use of semantic and social web technologies and Information and Communication Technologies (ICT) to facilitate public engagement in construction projects. The proposed framework features a core ontological model that is integrated with web-based middleware. It will contribute to the sustainability of construction projects through enhanced two-way communication and enriched public participation.
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 | 0.000 | 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 | 0.001 |
| 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