Bibliographic record
Abstract
A stapler is a mechanical device used to join two or more sheets of paper together by driving a thin metal staple through the sheets. They are widely used in schools, offices, business, government and homes. The anticipated large quantity of waste that is disposed of annually present great risk of environmental pollution and opportunities for economically viable resource recycling. This study evaluates potential environmental impacts of a Stapling machine and its end-of-life management opportunities. Environmental lifecycle assessment (LCA) process was used for the evaluation. The assessment was implemented with the aid of SimaPro software version 7.3.3.Results of the analyses revealed that climate change and eutrophication are the significant potential environmental impacts. Each Stapler has 1.265130 kg CO2-eq in Global Warming Potential and 0.113067 max kg O2-eq as its Eutrophication Potential. Further examination also showed that most of the impacts are from material selection, product distribution, and end-of-life management of the stapling machine. This study provides insights on potential environmental impacts of stapling machines and potential opportunities for improvements in their end-of-life management.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".