Assessing the environmental impact of building houses in remote areas: 3D printing vs. traditional construction techniques
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 building sector holds a pivotal position in influencing our artificial landscape, emphasizing the pressing need to embrace green and inventive approaches, equipment, and instruments to mitigate its ecological impacts. In this study, a comprehensive evaluation of environmental burdens associated with construction methods in the remote area of Attawapiskat, a First Nation community located in northern Ontario, Canada, is carried out. The study includes a detailed comparison of the sustainability between 3D printing technology and conventional construction approaches. Six distinct scenarios for comparing 3D printing technology and conventional construction in Attawapiskat were identified. Subsequently, a cradle-to-gate life cycle analysis (LCA) was conducted for each scenario, facilitated by SimaPro software. The environmental impact across various categories was then compared. Ultimately, sensitivity analyses were employed to interpret the results, assessing the influence of variations on our findings. Our study highlights a substantial environmental improvement when using Geo-polymer concrete in 3D printing in construction compared to conventional methods. To boost 3D printing's eco-friendliness further, we advocate local material sourcing to cut transportation emissions and reduce the carbon footprint, ultimately advancing sustainability in construction. • Comprehensive evaluation of environmental burdens associated with construction methods in remote area of Attawapiskat. • Comparison of the sustainability between 3D printing technology and conventional construction approaches. • Analyze six distinct scenarios for comparing 3D printing technology and conventional construction in Attawapiskat. • Explore the benefit of using Geo-polymer concrete in 3D printing in construction compared to conventional methods. • Provide suggestions to reduce transportation emissions and carbon footprint to boost 3D printing's eco-friendliness.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| 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