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
Rooted networks provide a conceptual framework that embeds network thinking in nature-society geography in order to investigate socio-ecological relations, while emphasizing the place-specific materiality of these relations. This progress report examines how geographers have put the framework into scholarly practice. The conceptual approach has enabled researchers to: 1) articulate the territoriality and materiality of networks as assemblages, which may be simultaneously rooted and mobile; 2) discern diverse types of power that flow through network connections; and 3) conduct analyses that unearth multiply-situated knowledges within networks. Challenges emerge as we seek to integrate the approach more fully with disciplinary traditions, including organizing complex relationships into bounded scholarly formats; choosing which aspects of the network are most salient to analyze; and illustrating networks for effective communication. We describe the ways in which rooted networks can be used as a tool for action, as a pedagogical guide, and to strengthen collective capacity to imagine and negotiate alternative futures based on ‘seeing multiple.’ Finally, we call for geographers and other scholars, researchers and activists to build upon a rooted networks framework as a tool for design, analysis, understanding and communication in the search for more socially just and ecologically viable futures.
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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| 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