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Record W75346251

Technology, Interoperability, and Provision of Public Safety Networks

2013· article· en· W75346251 on OpenAlex
Yipeng Liu, Hong Guo, Barrie R. Nault

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Conference on Information Systems · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicLocal Government Finance and Decentralization
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsInteroperabilitySpillover effectCross-domain interoperabilityComputer securityBusinessComputer scienceQuality (philosophy)DecentralizationRisk analysis (engineering)Industrial organizationSemantic interoperabilityEconomicsMicroeconomicsWorld Wide Web
DOInot available

Abstract

fetched live from OpenAlex

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.944
Threshold uncertainty score0.269

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.031
GPT teacher head0.287
Teacher spread0.255 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it