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 In this essay, we highlight the intellectual context that shaped our initial conceptualisation of political forests as dynamic spaces and political ecologies, and how our fieldwork and comparative approach shaped our subsequent elaboration of the concept and its empirical manifestations. Of particular significance was our emphasis on incorporated/relational comparison and our multiscale analysis. These approaches allowed us to locate subjects and processes in specific field sites within an emergent global forestry network produced through multiscale interactions and movements within and among colonial and FAO forestry empires. We revisit the key processes through which we learned to see common and contrasting mechanisms that have made forests inherently political in our six research sites in Indonesia, Malaysia, and Thailand, linking these “classic” mechanisms to concepts in wide use today. These concepts include understanding political forests as co‐produced, the significance of expertise in their reproduction, and the interactions between politics and the lively materialities of political forests. Among other conclusions, we suggest that the political forest is being replaced by what could be called “political conservation”, which has its own knowledge networks and expertise that displace but also build on political forestry. Finally, we reflect on how these ideas are being further developed by the authors in this symposium, whom we gratefully acknowledge for demonstrating that the politicisation of forests continues to be significant today.
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 | 0.001 |
| 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 | 0.001 |
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