A Study on Ascendency of Estuary Ecosystem
Bibliographic record
Abstract
Ascendency theory which is developed by Ulanowicz is an index of activity and organization in living systems and is about to quantify the whole-system status. Being calculated in terms of flows, the ascendency is used to quantify the eutrophication of the ecosystem. However, when network magnitudes and topologies are changed from non-eutrophic to strongly eutrophic, the ascendency which is calculated in terms of flows of simple energy is relatively insensitive to such changes. However, when the flows are measured in terms of eco-exergy, it is more advisable. The ascendancies of two different trophic levels which are non-eutrophic and strongly eutrophic are calculated on simple energy and eco-exergy respectively. The analysis of ascendency about the two different trophic levels also proves that ascendency is more sensitive when based on eco-exergy than on simple energy. The ascendency based on eco-exergy is more appropriate to quantify the ecosystem status.
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How this classification was reachedexpand
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 | 0.002 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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; both teacher heads agree on what is shown here.
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".