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
Lively debate has surrounded the emergence of geographic information systems (gis) as a formidable presence in both intellectual and applied geographic circles. Earlier discourses that polarized gis into two mutually exclusive camps — neutral, objective tool vs. positivist, theoretically corrupt weapon — have more recently been tempered through the infusion of conceptual vantage points such as feminist theory and theories of science as socially constructed practice. The widening array of uses to which gis is now put, including everything from missile sitings and gerrymandering to movements for social and environmental justice, make it even more imperative to situate gis inquiry within broader frameworks that can encompass the richly contradictory cultural, political, and economic landscapes of technology. In this paper, I home in on a case study of a local, fledgling public participation gis (ppgis) effort in order to understand gis as part of the longer trajectory of people's struggles with and against the machine within industrial capitalism. Specifically, I draw from utopian studies to propose that gis can be seen as a contemporary manifestation of the utopian impulse, where technology is both the problem and, when inserted into more emancipatory social settings, the potential cure. The loosely organized collection of people working locally to use gis, in small and often disconnected ways, to interfere in the fabric of industrial (and post-industrial) capitalism in fact represents a utopian undertaking to confront geographically specific problems and create the "better life in the better place."
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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