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Record W1914076494 · doi:10.1300/j516v04n01_06

Rethinking Government-Public Relationships in a Digital World

2007· article· en· W1914076494 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.

Bibliographic record

VenueJournal of Information Technology & Politics · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicE-Government and Public Services
Canadian institutionsDalhousie UniversityUniversity of VictoriaToronto Metropolitan University
Fundersnot available
KeywordsGovernment (linguistics)DemocracyEmpowermentPublic relationsService (business)Public serviceBusinessCustomer engagementE-GovernmentPower (physics)Customer serviceMarketingPublic administrationPolitical scienceEconomicsInformation and Communications TechnologyPoliticsSocial mediaEconomic growth

Abstract

fetched live from OpenAlex

Abstract Many have argued that new electronic technologies have the potential to transform how governments relate to users of public services. This article explores the limits of e-government as it is being conceived by testing it against three service recipient models: customer, client, and citizen. We argue that despite the opportunities that electronically-based service transformations present for enhancing democratic citizen engagement and the power of clients, the market-inspired customer image is likely to emerge as the most powerful way in which service recipients are characterized and addressed. The business architecture of e-government being installed today in the pursuit of better customer relationship management may also represent a decreasingly attractive medium for client empowerment and democratic interactions between service recipients and government.

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)0.002
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: Empirical
Teacher disagreement score0.565
Threshold uncertainty score0.285

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.004
Open science0.0000.000
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 head0.027
GPT teacher head0.279
Teacher spread0.252 · 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