Ecosystem services between integration and economics imperialism
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
Here, we explore the interdisciplinary merits of the ecosystem services concept by recruiting the notion of economics imperialism. We identify four different ways in which interdisciplinary concepts can fail as interdisciplinary concepts, three of which are associated with imperialism. First, interdisciplinary concepts can fail to be integrative, typically by being overtly flexible or vague. The remaining three ways, which typically mark imperialist infringements, are: failure to achieve ontological unification, failure to maintain or accommodate a plurality of accounts when it is suitable, and the obfuscation of social or ethical values. We analyze some of the critiques that have been raised with respect to the ecosystem services concept as a case of economics imperialism. We conclude by discussing the scope and limits of the concept more broadly and what those mean for an interdisciplinary ecosystem services science going forward.
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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 | 0.000 | 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) | 0.000 | 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