RE-HUSHING COMMENTARIES ON THE EFFECTS AND POTENTIAL BENEFITS OF CANABIS: LESSONS GHANA CAN LEARN FROM USA AND CANADA
Bibliographic record
Abstract
This article focuses on the review and a critical appraisal of the facts on cannabis or marijuana. The global scientific arguments that the existence of delta-9 tetrahydrocannabinol (delta-9 THC) causes a certain degree of harm to the brain especially for persons in their teenage years and even for those below the age of 23-25 years have been looked at. Again, the scientific, legal and ethical arguments on cannabis have been looked at. Attention has been paid to the potential global benefits with its associated ethical and legal issues with emphasis on USA and Canada using information gleaned from documentary and non-documentary sources to serve as lessons for Ghana. Interviews were conducted to get the views of users and former users of cannabis concerning the subject under review. The article postulates that negatives associated from the use of cannabis emanates from THC so the reduction of it may rather make the argument for it legitimization in countries like Ghana be less harmful. It further confirms that the Global Cannabis trade is bringing lots of financial gains to those who are peddling the weed at the expense of nations or governments. In Ghana the police in Kumasi, Accra, Sunyani/domaa and the Volta region have put up a stiff fight against the cannabis trade. Irrespective of the efforts of the narcotic Control Board, the police service and the customs at our borders, weed farms are increasing in Ghana, Jamaicans and persons from the West-Africa sub-region have been accused to be collaborating with indigenous Ghanaians in the venture. Peddlers and users have become innovative and now we have marijuana bitters in Ghana. KeyWwords: Delta-9 Tetrahydrocannabinol (THC), Cannabis, Indian hemp, Wee, Weed, Hashes, marijuana, United States of America (USA), Canada, Ghana.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.037 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.006 | 0.009 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".