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E‐Government and local Good Governance: A Pilot Project in Fez, Morocco

2008· article· en· W1956976986 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueThe Electronic Journal of Information Systems in Developing Countries · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Policy and Administration Research
Canadian institutionsCommunity Based Research CentreUniversité Laval
FundersInternational Development Research Centre
KeywordsCorporate governanceGovernment (linguistics)Project governanceGood governanceOutcome (game theory)Public administrationPolitical scienceGood practiceProcess managementBusinessPublic relationsManagement scienceEnvironmental resource managementEnvironmental planningEngineeringEngineering ethicsEconomicsGeographyFinance

Abstract

fetched live from OpenAlex

Abstract This paper presents a research project working towards building a sustainable pilot E‐Government system for the ancient city of Fez in the developing country of Morocco. Specifically, this article goes through the range of understandings related to concepts of governance, good governance, and e‐government to identify ways to put in practice these notions and facilitate systematic assessment of outcomes and results of the project implementation. The article presents a methodology (Outcome Analysis) and identifies indicators for enabling a project Outcome Analysis as a measurement of the project's contribution to the improvement of good governance. Such a systematic assessment aims to contribute to the generation of knowledge and dissemination of lessons learned concerning the implications of e‐Government implementation for good governance.

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)0.004
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: Empirical
Teacher disagreement score0.966
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.029
GPT teacher head0.320
Teacher spread0.291 · 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