Doing Public Participation on the Geospatial Web
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
The emergence of Web 2.0, open source software tools, and geosocial networks, along with associated mobile devices and available government data, is widely considered to have altered the nature and processes of place-based digital participation. Considerable theorizing has been dedicated to the geographic version of Web 2.0, the geospatial Web (Geoweb). To assess the theories, we draw on four years of empirical work across Canada that considers the nature of public participation on the Geoweb. We are driven by the question of how easy or difficult it is to “do” Geoweb-enabled participation, particularly participation as envisioned by researchers such as Arnstein and planning practitioners. We consider how the Geoweb could transform methods by which citizens and nonprofit organizations communicate with the state on environmental issues that affect their lives. We conduct a meta-analysis of twelve research cases and derive new findings that reach across the cases on how the Geoweb obliges us to redefine and unitize participation. This redefinition reifies existing digital inequalities, blurs distinctions between experts and nonexperts, heterogenizes the state as an actor in the participation process, reassigns participation activities in a participation hierarchy, and distances participation from channels of influence.
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 | 0.002 |
| 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 | 0.001 |
| 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