Bibliographic record
Abstract
One of the most significant factors influencing the co-spatialities regimes of post-urban communities is the development of new urban media. On the one hand, new urban media symbolizes the complex transition to new post-urban communities and new spatial regimes of their existence; on the other hand, they are the basic element of the newly emerging policies of co-spatialities. From the phenomenological point of view, post-politics is treated as the growing dominance of flat communicative ontologies in post-urban spaces, characterized by the disintegration of the traditional modern methods of communication. A post-urban locality is defined as a medial co-being, centering the next here-and-now cartography of imagination, which can be considered as a post-political action. The de-territorialization of post-urban communities takes place through the “smoothing” of urban spaces, turning them into mostly “smooth spaces” with the help of the new media. Specific local geo-cultures, a new, “rhizomatic” type whose development is based on the post-political transcription of socialization and medialization of urban spaces, are formed. The affectivity of post-urban co-spatialities is manifested in the gradual increase in the number of new specific urban actors that herald the slipping away of traditional state and municipal policies. The post-political can be considered as a sphere of geo-semiotic violence aimed at the over-coding of co-spatial situations. The mapping of co-spatialities reproduces the Earth as a total chora of post-political ontology. The post-city nomos constantly forms a communicative periphery with the missing center, where any message can signal the transactions of imagination aimed at the devaluation of “center–periphery” systems.
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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 | 0.001 | 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 | 0.010 | 0.015 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.015 | 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".