Recreational cannabis in Germany : a study of an emerging market
Bibliographic record
Abstract
Cannabis is one of the oldest crops known to mankind, with evidence of its use dating back to ancient China and India. Globally, cannabis legalization is becoming more prevalent, with countries like Uruguay, Canada, and several states in the United States decriminalizing medicinal and recreational use in recent years. Germany is expected to become one of the largest recreational cannabis markets in the world. Despite the potential size and growth of the German cannabis market, there are still many challenges and uncertainties facing firms looking to enter the market. The research question of this thesis is as follows: what factors will determine success for a cannabis firm when the new regulatory framework is implemented? The research is conducted using a mixed-method approach, using a survey with a sample of n = 204 and three expert interviews with market insiders. Amongst others, the research shows that the legalization of cannabis opens opportunities, particularly in the medical field. Quality is paramount for consumers when purchasing cannabis. Branding is predicted to drive the cannabis market, with consumers making choices based on brand perception. Familiarity with brands can influence purchasing decisions, with many perceiving familiar brands as high quality.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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; both teacher heads agree on what is shown here.
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".