Bibliographic record
Abstract
When the reality is undesirable, one dimension to which the public can respond depends on whether the reality can be changed. When such change is possible, one tends to be more active, extroverted, and rebellious. When otherwise, one tends to be more passive, introverted, and fearsome. Countercultures that took form from such reactions to reality would inherit such quality, evident in how queer culture tends to possess the quality of the former. In contrast, the otaku culture has the latter. As a culture of indulgence and fear of reality, a phenomenon of genjitsu-touhi is evident in the works of related industries after this period, which is a vicious cycle involving lucid reflection and blinded indulgence that points toward death. Sekai-kei anime follow the same step as genjitsu-touhi, as they provide an exaggerated and unrealistic commendation of otakus personal matter by tying it to affect the life and death of the entire world an externalization of narcissism. Some of these works, however, strive for a therapeutic purpose in addition by demonstrating the change, challenge, and growth of equally defective main characters that were previously used to provide narcissistic indulgence, though the efficacy of such therapy is hard to evaluate.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.012 |
| Scholarly communication | 0.006 | 0.009 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.005 |
| 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".