The "Trump revolution" – is a watershed in the development of American society
Bibliographic record
Abstract
Аннотация. В статье анализируется новая монография доктора политических наук, руководителя центра внутриполитических исследований Института США и Канады РАН Н.М. Травкиной. В представленной работе рассматривается ситуация в США в период предвыборной кампании 2016 г., а также положение в стране после прихода к власти Д. Трампа. В данном исследовании затронут широкий круг проблем современных США, которые порождены прежде всего эволюционными изменениями политической системы США, нашедшие отражение в президентской кампании 2016 г. и в последующей деятельности президента Д. Трампа. В статье в первую очередь акцентируется внимание на том, что в настоящее время республиканцы и демократы переживают большие перемены на выборах 2016 г. столкнулись два различных подхода, два противоположных взгляда на путь, которым должна следовать страна. Это свидетельствует о том, что произошла поляризация американского общества, произошел раскол идеологии властной элиты. Делается вывод о том, что революция Трампа и его деятельность на посту президента знаменует собой водораздел в развитии американского общества, во всяком случае, на протяжении последних 2530 лет. Abstract. The article analyzes a new monograph by N. M. Travkina, Doctor of Political Sciences, head of the center for internal political research at the Institute of the United States and Canada of the Russian Academy of Sciences. This paper examines the situation in the United States during the 2016 election campaign, as well as the situation in the country after D. Trump came to power. This study touches on a wide range of problems in the modern United States, which are generated primarily by the evolutionary changes in the us political system, which were reflected in the 2016 presidential campaign and in the subsequent activities of President Donald Trump. The article primarily focuses on the fact that Republicans and Democrats are currently experiencing big changes in the 2016 elections, two different approaches, two opposite views on the path that the country should follow, collided. This indicates that there was a polarization of American society, there was a split in the ideology of the power elite. It is concluded that the Trump revolution and his work as President marks a watershed in the development of American society, at least over the past 25-30 years.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.024 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.008 | 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".