Socioeconomic status and digital inequality: lessons from Cote D’Ivoire
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.
Bibliographic record
Abstract
This study investigates the problem of digital inequality from a socioeconomic perspective by examining if socioeconomic status moderates the impacts of subjective norms and perceived behavioral control on Internet use continuance in a developing country context. The study sheds empirical light on the context of Internet use continuance by demonstrating that mere access to Internet-capable or Internet-connected personal computational devices is not a sufficient precondition for continued Internet use. Rather, Internet Use Continuance is a function of broader economic factors among them socioeconomic status, communal influence, and government influence. The study also reveals that the effect of subjective norms on Internet use continuance differs across socioeconomic groups. Therefore, policymakers ought to consider using specific and targeted mechanisms in bridging digital inequality, particularly in developing country contexts.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it