Factors Influencing Information Delivery Technology Choice in Deprived Regions in Ghana
Bibliographic record
Abstract
Using a contingent valuation (CV) method to quantitatively estimate the influence of selected socio-economic factors on households’ willingness to pay for alternative information delivery technologies, the study intended to provide basic information regarding rural households’ willingness to pay for information delivery technologies. This study used rural household survey data collected from three administrative regions in Ghana to examine rural women’s willingness to pay for information delivered via three technologies – community radio, private radio, and extension agents. The primary objective of the study was to identify the critical factors to consider in planning and policy design in using ICT to provide information to empower rural women. While there were nontrivial regional variations, the overall results from this study point to household expenditures (used as proxy for income), household education, and membership in community organizations as the principal factors influencing rural women’s willingness to pay for the various technologies used in information delivery to women in rural areas in Ghana. The overriding conclusion that emerged from this study was the need to examine ICT use in empowering rural women within a ‘holistic’ context.
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How this classification was reachedexpand
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".