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Record W2549327557 · doi:10.1080/23738871.2016.1249898

Exploring the multi-stakeholder experience in Kenya

2016· article· en· W2549327557 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Cyber Policy · 2016
Typearticle
Languageen
FieldEngineering
TopicICT Impact and Policies
Canadian institutionsnot available
FundersInternational Development Research Centre
KeywordsInformation and Communications TechnologyStakeholderStakeholder analysisGeneral partnershipPoliticsBusinessPublic relationsStakeholder managementOrder (exchange)Knowledge managementPolitical scienceComputer science

Abstract

fetched live from OpenAlex

This paper attempts to explore the extent to which the multi-stakeholder model has contributed to the vibrant information and communications technology (ICT) sector in Kenya. It shows how stakeholder organisation and lobbying, as well as political decisions, influenced the innovation and diffusion of ICTs, and how the multi-stakeholder approach gained support from both governmental and non-governmental players in the ICT sector. The paper highlights socio-political dynamics and changes that have taken place, which have led to the multi-stakeholder approach being applied in order to develop ICT policies and create new institutions deploying infrastructure, rollout, and management. It also explores how the multi-stakeholder partnership (MSP) approach has been applied to the discussion and regulation of post-access issues. This paper is based on interviews, the author’s broad experience in this area, and reviews of Kenya ICT Action Network documents, as well as mailing list discussions.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.673
Threshold uncertainty score0.193

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 communication0.0000.000
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 head0.173
GPT teacher head0.317
Teacher spread0.143 · 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