SUSTAINABILITY OF OFF-SITE CONSTRUCTION: A BIBLIOMETRIC REVIEW AND VISUALIZED ANALYSIS OF TRENDING TOPICS AND THEMES
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
ABSTRACT Off-site construction (OSC) involves the fabrication and assembly of building components in a purpose-built factory which are then transported to the job site for final installation. OSC has proven to be a greener construction approach, spurring research towards benchmarking the sustainable attributes of the technique. However, a quantitative statistical analysis of studies on OSC sustainability and a framework of the knowledge domain are not well-established. Drawing on 642 bibliographic records from Scopus, this paper conducted a bibliometric and visualized analysis of research on the sustainability of OSC from 1971 to 2019. The findings show that research publications on OSC sustainability only witnessed steady growth since 2000. A geospatial analysis revealed that at least 32% of countries are involved in the OSC sustainability research, of which the United States, China, Australia, the United Kingdom, and Canada make the greatest contributions. The hot topics in the contemporary OSC sustainability research were identified as embodied carbon, embodied energy, construction waste, post-occupancy evaluation, resources conservation, and recycling, and cost savings. The paper identified areas that require further research. Thus, the paper offers an all-embracing understanding of the core research themes, trends, and patterns on OSC sustainability to stakeholders.
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) | 0.004 | 0.001 |
| Bibliometrics | 0.014 | 0.029 |
| 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) | 0.000 | 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