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 provides an overview on a major phenomenon in North America: cannabis start-ups raising hundreds of millions of dollars on Canadian Stock Exchanges. The research brings relevant and strategic information on a process where a cannabis start- up, with no solid tangible assets, can have access to venture capital on stock market exchanges. Additionally, our research team explores ten inspiring cases of cannabis Unicorns where multimillion dollar private placements (PP) bring a win/win/win situation for cannabis entrepreneurs, accredited investors and the Canadian economy. Financing of cannabis start-ups through a Reverse-Take-Over (RTO) is briefly explained albeit the enigmatic aspects of the process. The authors’ other challenge is to decipher the complexity of a cannabis business model in an ecosystem where the uncertainty of the legal context is the name of the game. The article also explores the value chain of the cannabis industry. Lastly, the authors identify a game-changer: a new Moroccan law could significantly alter the global cannabis industry and transform the landscape as a whole.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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