Artistic and industrial culture of the first quarter of the XXI century: key concepts, strategies, and principles
Bibliographic record
Abstract
The relevance of the study is to highlight and systematize the main concepts, strategies and principles of modern artistic and industrial culture. The object of this study is the artistic and industrial culture of the first quarter of the XXI century. The main concepts, strategies and principles of artistic and industrial culture of the first quarter of the XXI century, determining its development and distinctive features are the subject of the study. The aim of the study: to identify, analyze and systematize the main concepts, strategies and principles of artistic and industrial culture of the first quarter of the XXI century in their interrelation with socio-cultural and ecological issues of modernity. In the artistic and industrial culture of the first quarter of the XXI century, the main concepts were formed: sustainable design, digital design, emotional design and inclusive design. The main strategies of modern artistic and industrial culture include multidisciplinary approach, interactive design and balance between the requirements of the global market and national characteristics. The principles of modern artistic and industrial culture in its base remain unchanged and consist of functionality, anthropocentrism, innovativeness and aesthetic expressiveness.
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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.015 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".