Meta-Framework for Security in the Human Hive: Integrally Aligning Sustainability Responses to Trajectory of Evolutionary Threats
Bibliographic record
Abstract
This article explores human security (HS) in the city (aka human hive) within the context of environmental change and proposes an integrated evolutionary framework for designing city-scale HS systems. It explores the integral city framework for HS and the environmental change in the Cosmosphere, Biosphere and Anthroposphere. Four maps reveal how humans in the city impact global environment and how HS is tightly bound with global evolution and human change. Elements of the maps include subjective/intersubjective and objective/interobjective perspectives, nested holarchies of whole systems, fractal development of holons and social holons and eight levels of complex structures. The article concludes that the integral city meta-framework provides a HS system approach that is fractal, scaleable, global, local, holistic, comprehensive, pluralistic, interconnected, evolutionary and developmental. Copyright © 2014 John Wiley & Sons, Ltd.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.004 | 0.016 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".