Living Visual Communication Design Toward to Sustainable Development: Conceptual Framework and Ecological Strategies
Bibliographic record
Abstract
In this study, the attention is focused on the essence of integrated living visual communication design. It contains plant and biological components that cause the design system transformation and ensure dynamic visualization of the images. The methodological concept of the study is based on systematic and interdisciplinary approaches, which allow to assess living visual communications as integrated design systems. The author’s methodology includes analysis and systematization of examples; the formation of the integrated design model is based on an associative-metaphorical approach and substantiation of development strategies of ecological visual communications. The study resulted in the development of two groups of visual communication systems, namely green visual communications and biological visual communications. Their visual language was created on the base of such processes as landscaping, facing, encapsulation, energy recovery, and self-organization. The developed model of integrated design of living visual communications allows to put together artificial and natural components using their associative similarities. This model is considered an instrument for decision-making that is aimed at the implementation of ecological innovations into the design of dynamic visual communications. This study broadens the possibilities of using the living organisms in design and substantiating eco-strategies of communication design development in the context of forming designers’ creative potential.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.013 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".