Bibliographic record
Abstract
Mobile technology offers an innovative and cost-effective channel for delivering a range of financial services, including mobile payments. In some jurisdictions, mobile payments simply provide a convenient option for facilitating payment transactions. In other jurisdictions, mobile payments are viewed as potentially transformative because they present an opportunity to expand access to financial services. However, as with other innovations, mobile payments raise consumer protection concerns and require robust regulatory mechanisms to address such concerns. Against this backdrop, the book adopts a typology of consumer policy tools which can be used to address the identified consumer concerns. This typology guides the enquiry into the existing consumer protection frameworks applying to mobile payments in selected jurisdictions (Canada, Kenya, and the United Kingdom). The main objective of this endeavour is to identify best practices that national authorities seeking to leverage mobile payments and similar innovations can emulate. This book will be of interest to policymakers, regulators, industry stakeholders, students, and scholars interested in the regulation of innovative financial services, particularly from a consumer protection perspective.
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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 | 0.000 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.004 |
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".