Bibliographic record
Abstract
Human culture is the accumulation and evolution of results produced by countless design exercises.However, the process from which such design emerges lacks a solid scientifi c theory.Long-term sustainability issues force us to discover new boundaries and innovative design possibilities.This analysis makes reference to life's biological laws and the biophysical boundaries to which all living beings are constrained in order to propose a theoretical model that links restriction and capacity to four evolutionary strategies (Status Quo, Survival, Transformation, and Growth).The latter is related to cultural evolution, which identifi es human culture as a phenomenon that stays within life's general evolution.The proposed model links evolutionary strategies to four distinct design goals within reach of human beings and to the fundamental philosophical building blocks that are consistent with each option of the model.After the model is presented, a statistical analysis is used for validation of the model.Despite great diversity of cultural and historical backgrounds in present societies, data form economic, energy and technological features of more than 100 countries show striking regularities related to the way that physical and social resources are applied to the process of economic and human development, and show consistency with the proposed design goals of the model.Among the most striking features discovered by this analysis it is worth noticing that, apparently, there is a minimal threshold of energy expenditure and research and development (R&D) investment required to achieve a high level of social development.Furthermore, in order to achieve a positive and strong cooperative effect between energy and R&D, worldwide evolution of such indexes seems to indicate that economic and social evolution is constrained to similar scaling laws, than those discovered for biological species.Although boundaries for cultural design are identifi ed throughout this work, the evidence also suggests new design possibilities for moving forward into a transformational future supported by social technologies of metabolic (constructal) design.
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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.044 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".