Probing the relationship between ecosystem perceptions and approaches to environmental governance: an exploratory content analysis of seven water dilemmas
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
Addressing wicked ‘water dilemmas’ requires an understanding of the context within which they are embedded. This study explored perceptions of the ecosystem in terms of resilience and the governance approaches employed through a content analysis of documents from seven case studies across the globe. Analytical constructs developed for resilience and governance approaches guided the exploration. Multiple resilience types were present in documents for each case, but few patterns emerged across cases. Governance approaches were strongly focused on state approaches in most cases. A relationship between resilience type and governance approach was not clear; however, a pattern emerged between the presence of the social–ecological resilience type and non-state-centred governance forms. The type of author (government, non-government) or the type of document (research and advisory, descriptive) were not found to mediate the findings as resilience framings varied considerably and state governance approaches were emphasised throughout. As the findings stand in contrast to contemporary scholarship on understanding ecosystems and environmental governance they raise important issues to which individuals must be cognizant when accessing documents for guidance. They also open avenues for future investigation of water dilemmas at the nexus of theory, policy and practice.
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 | 0.001 | 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 | 0.000 | 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