Why Don’t You Want My Money: A Study of the Acceptance of Cryptocurrencies in Online Cannabis Markets
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
Drug trafficking is a crime that is constantly renewing and adapting to new technological advances. With the emergence of cryptocurrencies, many offenders have incorporated this technology in the development of their criminal activities. It is usually assumed that characteristics of this virtual currency such as its security and anonymity could favor criminality. This paper studies the acceptance of cryptocurrencies in online drug markets in Canada. The results show that most marketplaces refuse cryptocurrency as a form of payment. Furthermore, they suggest that this acceptance is based on criteria of business improvement and customer acquisition, with the market’s need to take advantage of the cryptocurrency’s features being less important. Merchants do not consider their use necessary to protect the development of their criminal activity and therefore most of them do not intend to accept them in the future. The extended TAM has shown to be valuable in elucidating conclusions regarding the acceptance of cryptocurrency in this area.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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