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Record W3113601839

A History lesson on the future of cities

2020· article· en· W3113601839 on OpenAlex

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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueJournal of Professional Communication · 2020
Typearticle
Languageen
FieldDecision Sciences
TopicBig Data Technologies and Applications
Canadian institutionsNiagara Health System
Fundersnot available
KeywordsHackerSmart cityBig dataKey (lock)StakeholderPublic relationsUtopiaTownsendData collectionSociologyEngineering ethicsPolitical scienceInternet of ThingsEngineeringInternet privacySocial scienceComputer scienceComputer securityLaw
DOInot available

Abstract

fetched live from OpenAlex

In this book review, the author explores key lessons from Anthony M. Townsend’s Smart cities: Big data, civic hackers, and the quest for a new utopia. Although Smart Cities was published in 2013, the author suggests that it contains rich and timely wisdom for professional communicators seeking to integrate data science into their practice. Through the history of urban development and technology, Smart Cities highlights how thoughtful data collection, measurement and analysis can enhance stakeholder engagement.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.608
Threshold uncertainty score0.423

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.001
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 head0.419
GPT teacher head0.417
Teacher spread0.002 · 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