Carbon emissions comparison in modular and site-built residential construction
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
The construction industry has significant environmental impacts by consuming natural resources, emitting greenhouse gas (GHG), and generating wastes. Hence, lowering the environmental impacts of residential buildings deserve serious attention. Over the past decades, Modular construction has gained popularity as an address to that problem due to its advantages: lower cost, lower waste, higher productivity, faster construction time, and lower environmental impacts. This prefabrication technique also provides mass production specifically to address the housing crisis. In addition, lower carbon emission of modular construction makes it even more popular in residential sector. This study aims to review literature on environmental impacts of modular residential construction and their comparison with equivalent site-built homes using the life cycle assessment method (LCA). The goal is to identify the gaps in existing knowledge and suggest research opportunities for future study. The results indicate lack of comprehensive LCA framework to study the environmental impacts of modular and site-built construction. The findings recommend developing a comprehensive LCA framework for the comparison.
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 | 0.001 | 0.001 |
| 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