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
Scholars of environmental citizenship have often drawn attention to the spatial mismatch between ecological systems and nation-states, arguing that citizenship needs to be scaled up to meet global environmental challenges. I argue that rethinking the scale of ecopolitical engagement requires moving beyond a simple spatial hierarchy topped by ‘the global’. Debates in human geography lead us towards a relational conception of space, where densely networked interactions produce dynamic and multi-layered configurations of actors. Supplementing this perspective with political-ecological and post-humanist theories of human–nature interaction, citizenship can be understood as a process of political becoming within shifting assemblages of socio-ecological relationships. The second half of the analysis deploys this theoretical perspective to narrate three vignettes that locate nature's citizens in a diversity of socio-ecological contexts, debates and conflicts in Latin America. Drawing on regional scholarship, these vignettes examine the political ecology of citizenship in relation to water, climate governance and the struggles of indigenous peoples.
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 | 0.000 | 0.003 |
| 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 | 0.002 |
| 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