Motivation Factors for Political Consciousness Formation in the Modern World
Bibliographic record
Abstract
The article deals with the problem of political consciousness formation in the global conditions of heterogeneous political structures, which generate a wide range of needs and interests of groups and individuals. The purpose of our study is to identify the motivational structure of the subject's consciousness formation in political structures of different types. Conceptual description of the motivational structure in socio-political systems requires complex application of various research methods. The authors utilize such methods as structural and functional analysis of the informational and social environment, the phenomenological analysis of the role of communicative practices in the public sphere driving the attitudes of mass consciousness in the process of political power legitimation. Empirical methods include public opinion polls. Following the typology of forms of political consciousness, it is possible to single out and to systematize objective system factors of the living environment and subject-oriented factors of consciousness manipulation in public policy. Remarkably, real social systems are characterized by the complex synthesis of elements from different types of political consciousness. The process of recognizing the legitimacy of power by an individual is defined by opposite motivational vectors of freedom and necessity and runs on the base of rational and emotional perception of the political situation. The unity of the diverse forms of political consciousness organization in the global society is based on the axiological consensus between cultures, between society and human, between state and person. These relations conceptually manifest in symbols that motivate individual and group consciousness to trust in power.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".