Environmental Life Cycle Assessment of Commercial Analog and Digital Printing
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 commercial printing industry is in a transition from use of offset presses to inclusion of digital technology. Digital presses enable print-on-demand which moves the printing process closer to the customer, reducing distribution and storage costs and impacts to the environment. Digital presses have the ability to print shorter runs more economically than offset, have the ability to run variable print data, and use less paper from setup and calibration processes than offset presses. In this paper, an environmental life cycle assessment (LCA) for commercial printing of marketing collateral using a competitive sheet-fed offset press and an Indigo 7000 digital sheet-fed press is presented. Four damage categories are evaluated: human health, ecosystem quality, climate change, and resources. The life cycle includes materials and energy used to make the printer, paper, and consumables; energy consumption during printing, and end-of-life of paper, printer and consumables. The LCA of commercial digital printing shows that paper has the largest potential environmental impact, with press energy consumption and consumables coming next. The printer bill of materials is inconsequential by comparison. Additionally, an environmental break-even analysis demonstrates that a digital press has a lower environmental impact than an offset press when run length lies at the economic break-even point (estimated at 3,972 4-color double-sided lettersize pages).
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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