Back and forth: cybernetics interrelations and how it spread in Latin America
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
Cybernetics is a science characterized by the utopian search for new relationships between different areas of knowledge. After the Second World War, the best-known references in Western academia were Norbert Wiener’s approaches to this new discipline. However, there is another little-known hemisphere of this development that remains understudied and we claim is key for its history which refers to the pioneering work of scientists, engineers and cultural practitioners in Latin America, as well as the materialization of specific experiences that lead us to reflect on the role that some regional milestones could have had in the global context. This volume of AI & Society covers points of view that were structured in the various most emblematic stages of these trajectories with the participation of agents that went beyond the assimilation and interpretation of external models, transforming themselves into fundamental and pioneering experiences, among others, the work of Mexican scientist Arturo Rosenblueth, or the impact of the concept of Autopoiesis. Through this article we introduce the outcome of the research—presented in great length in the contributions of this volume—on some of the main stages and trends that constituted the evolution of cybernetics in Latin America. The particular contributions of the authors in this issue have helped to reconstituting these contexts while developing a continuous horizon which also explores future practices.
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 | 0.000 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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