The Chilika Lagoon Social-Ecological System: An Historical Analysis
Bibliographic record
Abstract
Innovations in social-ecological research require novel approaches to conceive change in human-environment systems. The study of history constitutes an important element of this process. First, using the Chilika Lagoon small-scale fisheries in India, as a case, in this paper I reflect on the appropriateness of a social-ecological perspective for understanding economic history. Second, I examine here how changes in various components of the lagoon's social-ecological system influenced and shaped economic history and the political processes surrounding it. I then discuss the two-way linkages between economic history and social-ecological processes to highlight that the components of a social-ecological system, including the economic aspects, follow an interactive and interdependent trajectory such that their combined impacts have important implications for human-environment connections and sustainability of the system as a whole. Social, ecological, economic, and political components of a system are interlinked and may jointly contribute to the shaping of specific histories. Based on this synthesis, I offer insights to move beyond theoretical, methodological, and disciplinary boundaries as an overarching approach, an inclusive lens, to study change in complex social-ecological systems.
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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 | 0.001 | 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 | 0.002 | 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".