Overcoming the Modern Socio-Cultural Crisis – from Postmodern to Post-Postmodern: Theoretical Aspects
Bibliographic record
Abstract
The purpose of the article is to consider the negative aspects of postmodernism and study how post-post modernity can help humanity overcome the modern socio-cultural crisis. In their research, the authors used various scientific methods of cognition, such as analysis and synthesis, in particular meta-analysis and meta-synthesis, generalization, and induction.
 The authors analyze the stages of development of civilization from the point of view of social progress, highlight their main characteristics and typological differences. The considered key points characteristic of postmodern, such as pluralism, negativism, relativism, denial of binarity in thinking, the extreme degree of nihilism, etc., lead to the understanding that the crisis that arose in the political, economic, socio-cultural life of society, at the turn of 20 21 centuries, inherent in the very nature of postmodern. The values and perception of the postmodern are less and less consistent with the present time, and in its depths, a new worldview begins to crystallize, conventionally called post-postmodern, as a response to overcoming the current socio-cultural crisis. Post-postmodern, postmodern, like modern before them and similar phenomena are links of one chain, interconnected with each other and logically following from the processes of previous eras. The main components of the post-postmodern, which are formed from the problems of the postmodern, are highlighted and characterized.
 As a result, the study showed that the currently being formed new worldview - post-postmodernity came close to the search for a new spirituality for the all-round development of a person and turning him into a socially mature being, as well as for resolving the internal contradictions of the postmodern worldview.
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 | 0.007 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.043 |
| Scholarly communication | 0.009 | 0.015 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.004 | 0.004 |
| 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".