Scaling discourse analysis: Experiences from Hermanus, South Africa and Walvis Bay, Namibia1
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
Abstract Scaling discourse analysis refers to the necessity to consider environmental discourse a multi-dimensional and diversified practice. Depending on the various levels of state and society at which environmental policies are applied and depending on the geographical scale at which their solution is sought, we have to differentiate both policy processes and outcomes in environmental politics. We introduce the importance of scale in mapping the multiple trajectories through which complex and intertwined relations of power produce and reproduce uneven geographies in the area of urban environmental policy. More specifically, we are seeking to cast light on the relationships between scale, discourse and the politics of urban environments. Using an approach influenced by urban political ecology, the relevant discourses here are constructed in a triangle of terms: urban, ecology and policy. In this triangle, there are no givens and invariables. Its three points are constituted through contested discourses and practices. We approach our analysis from an understanding of urban water policies in two municipalities Namibia and South Africa as the outcome of a discursive and material practice operating at various levels of state and society and as an integral part of wider processes of social and political change.
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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 | 0.001 | 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