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
Nature is a source of knowledge and inspiration for sustainable innovative solutions. Through biomimetic design, nature solutions are studied, abstracted and transferred to technology and other domains of applications. Sustainability and ideality are basic notions in design. While ideal systems had always been aspired for, having sustainable systems is a relatively new demand. In this paper we explore the similarity and differences between these two basic notions and suggest that there is a strong relation between ideality and sustainability. Based on this relation we analysed biological systems by a particular ideality framework and identifi ed repeated ideality strategies and design principles in nature. Selected examples of ideality analyses are presented as well as the list of ideality strategies that repeat in nature and represent nature sustainability strategies. These ideality strategies enrich current knowledge of sustainability strategies in nature (the life principles) by new operative and descriptive strategies. Ideality strategies are derived from a technical view that might be more inherent and applicable for engineers, observing biological systems as if they were technical systems. Using the ideality framework and strategies as a sustainability tool to address sustainable biomimetic design processes is further discussed.
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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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