Understanding Soil as an Open System and Fertility as an Emergent Property of the Soil System
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
<p>The application of the principles of thermodynamics and General Systems Theory is responsible for important progress in the study of soil and its fertility, and this application can even improve our understanding of the processes that govern the functioning of soil and determine the magnitude of soil fertility. Consequently, we can improve the evaluation and practices recommended for preserving or improving the soil and its fertility, contributing to sustainable food production. Recalling how the concept and <em>human </em>perception of soil have evolved is fundamental to improve our understanding. Thus, this article aims to encourage people to reflect on the application of the principles of thermodynamics of non-equilibrium and General Systems Theory in studying the soil and its fertility and to participate in constructing a new notion of soil fertility, able to express what is perceived by plants. Several authors in the last century have considered the soil to be an open system; however, this approach is a recent in Brazil. Fertility can be coherently understood as one of the emergent properties of the soil system by applying the principles of thermodynamics of non-equilibrium and General Systems Theory to the study of soil.</p>
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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