Bibliographic record
Abstract
Oluwaseyi Sanni is currently an LLM student at the Schulich School of Law, Dalhousie University. His research interest borders around the area of Dispute Resolution, International Trade Law, and International Law. More precisely, Sanni is interested in how States interact with one another through regional integration, and how disputes are resolved within such framework. He has pending publications with the African Journal of International and Comparative Law Journal as well as the AfronomicsLaw Blog.\nIn his current LLM Thesis entitled: “Proposing a Constructivist Approach to Resolving Trade Conflicts under the African Continental Free Trade Area Agreement” (AfCFTA): A Cross-Jurisdictional Analysis”, Sanni explores the dispute resolution paradigm under the AfCFTA treaty and advocates the need for it to reflect the character of the African Continent.\nSanni also works as a researcher at the Commonwealth Judicial Education Institute (CJEI), where he explores the jurisprudence surrounding the protection of animal rights, and its entrenchments in international and domestic legislations applicable to commonwealth countries.\nIn another life, Sanni records some years of experience of legal practice in Nigeria and intends to expand his practice base to Canada. Having recently completed the NCA requirements, Sanni immediately plans to article in a law-oriented organization and subsequently practice law in Canada. In the long term, beyond representing clients before domestic and international courts and fora, Sanni hopes to consult for Institutions, Bodies and Corporations on issues bordering around international trade and investments.\nIn exploring his goals and dreams, Sanni sought to have the Schulich School of Law, Dalhousie University as an integral part of his success story, not only because the faculty holds a distinctive reputation as arguably the oldest law school in Canada, but mostly because it is also reputed for its very impressive team of faculty members and researchers.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.138 | 0.039 |
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".