SALE OF GOODS ACTS OF GHANA: A MODEL FROM THE PRINCIPLES OF INTERNATIONAL COMMERCIAL CONTRACTS (PICC)
Bibliographic record
Abstract
Abstract: Background: The primary purpose of International commercial law is to provide a regulatory framework for businesses engaged in cross-border transactions. It standardizes legal regulations, ensuring predictability and fairness in international trade and commerce. Methodology: The authors of this article analyzed, reviewed and made a synergistic approach comparing peer reviewed papers written on principles of International commercial law with a taste of measured and concise critiques where the need arouse. Search engine such us google scholar, research gates, pub med for highly sort out and accredited works published were reviewed and those that suited the research article were studied. In all the authors studied about 150 peer reviewed articles and used about 15 books on the subject area. Results: Commercial law focuses on the sale and distribution of goods and transaction financing. Business law focuses on the legal needs of forming a company and property issues such as leasing office space. Corporate law is a subspecialty of commercial law and focuses on the legal matters of large corporations, such as mergers and acquisitions. Corporate law is a subspecialty of commercial law and focuses on the legal matters of large corporations, such as mergers and acquisitions. Conclusion: The researchers concurred and attested to the fact that the key principles of International commercial law shall always include the principle of freedom of contract, pacta sunt servanda (agreements must be kept), lex mercatoria (the law of merchants), and the principle of fairness and good faith. These principles aim to facilitate global trade efficiently and equitably.
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.
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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.008 |
| Scholarly communication | 0.005 | 0.008 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.019 | 0.002 |
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".