Bibliographic record
Abstract
This project has two purposes. The first is to provide readers with a descriptive overview of a simulation of a World Trade Organization (WTO) dispute settlement case (being European Communities-Measures Affecting Wine Imports). The simulation took place in a graduate level international trade course. Secondly, and arguably more importantly, the purpose of this project is to examine the usefulness and effectiveness of simulations as a teaching tool in international studies classes. Simulations are one of three interactive learning techniques that provide unique benefits not realized through traditional teaching methods. This project provides an overview of the WTO dispute settlement mechanism, discusses the actual dispute that was simulated and describes how the classroom simulation unfolded. The final analysis is conducted under the guise of four questions. Was the simulation an accurate reflection of what actually takes place? What significance did the simulation have for students of Canadian trade policy? Did the simulation contain the five major components as recommended by the literature? And, was the simulation effective? The final question uses a behaviour-content matrix, based on Bloom and Krathwohl' s Taxonomies for the Writing of Educational Objectives. It is informed by interviews with the course instructor, student questionnaire responses and the author's own personal assessment as both a student who took the course and as a professional who works in the trade law field. means of instruction." 2 This project will attempt to conduct such an assessment, using a WTO dispute settlement simulation as an example.
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 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 | 0.008 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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; a candidate call from one teacher head, 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".