Sustainable Concrete Design Using Brown Chicken Eggshell to Reduce Carbon Footprint
Bibliographic record
Abstract
The construction industry, as well as the food industry, are two influential sectors in the economy of Peru. However, processes such as cement manufacturing for use in concrete production and the disposal of food waste are two of the main causes of environmental pollution globally. This research considers the use of brown chicken eggshell, typically considered waste in the food industry, to be used as a partial replacement for cement in concrete mixes. The experimental work conducted analyses the properties of concrete in a hardened state through destructive and non-destructive laboratory tests, evaluates the effectiveness of eggshell as a partial replacement for cement in three presentations: fresh eggshell, dried eggshell, and eggshell ash; and determines the variation in carbon footprint of the concrete with eggshell compared to the standard concrete mix. This sustainable approach not only improves the properties of concrete but also marks an important step towards sustainable construction and the reuse of food waste.
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How this classification was reachedexpand
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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".