ЭТНОПСИХОЛОГИЧЕСКИЕ ПРОБЛЕМЫ ВЗАИМОСВЯЗИ ПАТРИОТИЗМА И МЕЖНАЦИОНАЛЬНОГО СОГЛАСИЯ В ПОЛИКУЛЬТУРНОМ ОБЩЕСТВЕ
Bibliographic record
Abstract
In the paper patriotism is considered as the love to the fatherland resulting from solidarity of interests of citizens of that state or members of that nation. The main problems of interrelation of patriotism and interethnic consent are the following: first, for some people being a patriot means primarily the opposition of the intimate national values to the values of other peoples. The people who proclaimed the slogan "Russiafor Russians", most likely, are mostly patriots, but it is possible to doubt their active aspiration for international consent in the polyethnic country. Secondly, the multinational states, such as theUSA,Canada,Switzerland, Russia etc., compelled to look for ―clamps‖ which put civil identity of the population over ethnic identity. Thirdly, it is impossible to leave from contradictions between patriotism of citizens of the country and regional patriotism, as love to the small homeland. The author allocates some types of patriotism: 1) aggressive patriotism, 2) pathos patriotism, 3) everyday (ordinary) patriotism.
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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.006 |
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".