Feedback Is Not Enough: Why Organized Methods Fail Under Partial Reduction through Adaptive Reduction Theory
Fuente:
Zenodo
Enregistré dans:
| Auteur principal: | |
|---|---|
| Format: | Recurso digital |
| Langue: | anglais |
| Publié: |
Zenodo
2026
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| _version_ | 1866901153490403328 |
|---|---|
| author | Grakov, Oleksii |
| author_facet | Grakov, Oleksii |
| contents | <p>Many organized human systems rely on feedback loops: observe, interpret, decide, act, and evaluate. Such loops appear in management dashboards, policy routines, quality improvement programs, nursing processes, educational assessment, project governance, and institutional planning. Yet feedback structures often fail even when each formal stage is completed. This paper reconsiders feedback loops through Adaptive Reduction Theory (ART), a formal framework for systems whose action depends on partial reductions of richer reality. The central claim is that feedback loops are not validated by their sequence of stages alone. They are valid only within localities where their reduction architecture preserves action-relevant distinctions, bounds hidden remainder, reacts within admissible delay, controls burden transfer, and updates retained structure. The paper develops concepts including local reduction validity, negative knowledge, burden transfer, delay mismatch, and learning failure in editor-dependent adaptive domains. It offers a general diagnostic framework for redesigning organizational methods so that feedback produces real adaptation rather than ritualized reporting or metric illusion. Canonical ART kernel source: https://doi.org/10.5281/zenodo.19733047</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19743322 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Feedback Is Not Enough: Why Organized Methods Fail Under Partial Reduction through Adaptive Reduction Theory Grakov, Oleksii Adaptive Reduction Theory (ART) Adaptive Reduction Theory Feedback Loop Systems Theory Organizational Learning Governance Partial Reduction Goodhart Effects <p>Many organized human systems rely on feedback loops: observe, interpret, decide, act, and evaluate. Such loops appear in management dashboards, policy routines, quality improvement programs, nursing processes, educational assessment, project governance, and institutional planning. Yet feedback structures often fail even when each formal stage is completed. This paper reconsiders feedback loops through Adaptive Reduction Theory (ART), a formal framework for systems whose action depends on partial reductions of richer reality. The central claim is that feedback loops are not validated by their sequence of stages alone. They are valid only within localities where their reduction architecture preserves action-relevant distinctions, bounds hidden remainder, reacts within admissible delay, controls burden transfer, and updates retained structure. The paper develops concepts including local reduction validity, negative knowledge, burden transfer, delay mismatch, and learning failure in editor-dependent adaptive domains. It offers a general diagnostic framework for redesigning organizational methods so that feedback produces real adaptation rather than ritualized reporting or metric illusion. Canonical ART kernel source: https://doi.org/10.5281/zenodo.19733047</p> |
| title | Feedback Is Not Enough: Why Organized Methods Fail Under Partial Reduction through Adaptive Reduction Theory |
| topic | Adaptive Reduction Theory (ART) Adaptive Reduction Theory Feedback Loop Systems Theory Organizational Learning Governance Partial Reduction Goodhart Effects |
| url | https://doi.org/10.5281/zenodo.19743322 |