Technology, Interoperability, and Provision of Public Safety Networks
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
Public safety networks are crucial for ensuring effective communications among first responders in emergency situations. This paper provides a comprehensive framework for analyzing the key tradeoffs between centralized and decentralized provisions of public safety networks. We extend the classic fiscal federalism model to capture a critical unique property of public safety networks – interoperability. Under decentralized provision, individual districts’ technology choices jointly determine the interoperability of public safety networks. Counterintuitively, the interoperability level is lower when the spillover effect is stronger. Under centralized provision, one uniform technology is chosen to maximize interoperability while accommodating local needs. When comparing output levels under centralized versus decentralized provision, we identify two countervailing effects: the spillover effect and the interoperability effect. In contrast to common public opinion, we find that a decentralized system may provide better quality of services than a centralized system when technology preferences are highly heterogeneous across different districts.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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