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Record W3200504285 · doi:10.33137/ijidi.v5i3.36213

Minding the Design Reality Gap

2021· article· en· W3200504285 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

VenueThe International Journal of Information Diversity & Inclusion (IJIDI) · 2021
Typearticle
Languageen
FieldComputer Science
TopicICT in Developing Communities
Canadian institutionsnot available
FundersUniversity of Toronto
KeywordsInformation and Communications TechnologyIntervention (counseling)SustainabilityImplementationKnowledge managementInvestment (military)BusinessPublic relationsPolitical scienceComputer scienceMedicineNursing

Abstract

fetched live from OpenAlex

This paper focuses on evaluating an information and communication technology (ICT) intervention promoted as a pro-poor telecentre initiative in rural Ghana. Our evaluative tool is the Design Reality Gap (DRG) framework used to analyse the Community Information Centre (CIC) initiative in Ghana. Data were collected through a qualitative multi-site case study. By tracing the linkages between the investment and outcomes, we found a worrying trend of failed implementations and sustainability, although implementers did sustain efforts at planning new initiatives. Based on the findings, we argue that the CIC initiative in Ghana is a failing ICT intervention. We also found that the tailored DRG approach allowed us to tease out the nuances that account for the CICs' status. We conclude by proposing gap closure measures for the failing intervention. This paper contributes to ICT evaluations by demonstrating the utility of the DRG framework in evaluating one of the most significant pro-poor ICT initiatives in lower-to-middle-income communities: telecentres. This research also contributes to the current ICT literature by enhancing our current knowledge about publicly accessible ICT facilities in an under-investigated setting, and further offers an approach to telecentre evaluations in similar contexts inspired by the DRG model.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Open science
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.934
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.003
Open science0.0050.014
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 head0.068
GPT teacher head0.276
Teacher spread0.208 · 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