Analyzing Canadian Prime Minister Justin Trudeau’s Decision Making towards modernized Canada – Israel Free Trade Agreement (2015 – 2019)
Bibliographic record
Abstract
In the beginning of the State of Israel establishment, western countries showed the most support towards the government in Tel Aviv, including Canada. Strong economic partnership between Canada and the State of Israel that was marked by the ratification of Canada-Israel Free Trade Agreement (CIFTA) back in January 1997 which became Canada’s first trade agreement outside the North American area. During the leadership of Canadian Conservative Party Prime Minister Stephen Harper, the agreement began the negotiation of modernization and was done in 2019 during the leadership period of Canadian Prime Minister Justin Trudeau. The second phase of negotiations that were held in 2017-2018 during the Trudeau period has included certain provisions that arguably believe to be Trudeau's personal concern. American and Canadian research mostly shows how Canadian’s leader in certain periods gave their support towards Israel to such an extent that they method of building relationship. Therefore, the goal of this paper is to investigate more about the leader's individual factors towards Jewish government. Question about what influence Canadian Prime Minister Justin Trudeau's decision making process towards continuing negotiations and the ratification of trade agreement was employed by the Juliet Kaarbo theory of Prime Minister Leadership style. The theory uses five variables to assess leaders’ behavior and personality. Result of this study concludes that there are some variables that have significant roles in explaining the decision-making process of Justin Trudeau during the second negotiations until the ratifications process.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".