The common operating picture as a collaborative governance tool for urban resilience
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 Through analysis of the narratives of participants to the London Common Operating Picture (COP), this study discusses the “information warehouse” and the “trading zone” theoretical perspectives on the COP that consider it, respectively, as an information system to share common information on a crisis or as a relational space of learning in which common meanings enable decision‐making and coordination. The trading zone approach has started to examine its role as a coordination tool, but there is little empirical research on how it can foster network's collaboration. Through an exploration of the COP participants' positions as boundary spanners, this study puts forward the trading zone perspective, showing that in London it has become a regular mechanism of collaboration and coordination. It argues that boundary spanners operate at multiple boundaries that enable network's collaboration and coordination, and the relational character of the COP create bonds of trust that foster collaboration and common understandings on the role of communication, collaboration, information sharing, and coordination for the security of all. We show that the COP is a relational space that creates a sense of belonging to a common community of security that believes in the role of networks' information sharing and collaboration for urban resilience.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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