Persuasive Communication by Prime Minister Justin Trudeau of Handling a Refugee in Canada
Bibliographic record
Abstract
Speech is an example of public communication context. How people build arguments in the speech can affect the persuasion process. Justin Trudeau brings refugee issues in his speech as something important for audiences to take concern with. He emphasizes on how world’s leaders in 71st General Debate of the United Nations General Assembly are able to accept refugees the way Canada has done. He wants to show the world that accepting refugees will not bring any harm to the countries. He is the youngest prime minister ever in Canada and pressumed like a leader has lack of experience among the other world leaders. How Justin Trudeau builds his argument on handling a refugee. This study adopts qualitative research with textual analysis as the method, which will use articles, websites and books as literature. The results showed that Justin Trudeau's physical attractiveness and authority in making decisions, credibility in proving promises, and his attractiveness in attracting the world's attention were the most visible components as a leader and speaker. He builds his arguments by showing evidence, case histories, and making people be guilty for doing wrong things with guilt appeal. His message content is full of the proof he has done for Canada in welcoming refugees. He shows vivid case histories and narratives on how Canada is safe by accepting refugees while many countries refuse for the sake of safety. Abstrak Pidato merupakan salah satu konteks komunikasi publik. Cara orang membangun argumen dalam pidato dapat mempengaruhi proses persuasi. Justin Trudeau membawa isu pengungsi dalam pidatonya sebagai sesuatu yang penting untuk diperhatikan oleh auediens. Dia menekankan bagaimana para pemimpin dunia dalam Debat Umum ke-71 Konferensi Umum Perserikatan Bangsa-Bangsa dapat menerima para pengungsi seperti yang telah dilakukan Kanada. Dia ingin menunjukkan kepada dunia bahwa menerima pengungsi tidak akan merugikan negara. Justin adalah perdana menteri termuda yang pernah ada di Kanada dan dianggap seperti seorang pemimpin yang memiliki pengalaman kurang di antara pemimpin dunia lainnya. Penelitian ini mengadopsi penelitian kualitatif dengan analisis teks sebagai metode, yang akan menggunakan artikel, website, dan buku sebagai literatur. Hasil penelitian menunjukkan, daya tarik fisik dan kewibawaan Justin Trudeau dalam memutuskan, kredibilitas dalam membuktikan janji, dan daya tariknya dalam menarik perhatian dunia adalah komponen yang paling terlihat sebagai pemimpin dan pembicara. Dia membangun argumennya dengan menunjukkan data sebagai bukti, kasus sejarah, dan membuat pihak lain tampak bersalah. Isi pesannya penuh dengan bukti bahwa dia telah melakukan hal yang tepat di Kanada dalam menyambut para pengungsi. Dia menunjukkan kasus sejarah dan narasi yang jelas tentang bagaimana Kanada aman dengan menerima para pengungsi sementara banyak negara menolaknya demi keselamatan mereka.
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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 | 0.002 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.020 | 0.007 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".