Literature and Its Waning Impact
Bibliographic record
Abstract
The following article attempts to explore and discuss a very thorny problem in humanities, i.e., the decay or even death of literature in the 20 th century and the current 21 century.It is in these critical times that one can hear such calls for proclaiming the death of literature or its declining status.The corpus of the article is devoted to shedding illuminating light on the different aspects of this controversial topic.The introduction gives representative examples of the heyday of literature and its glorious milestones.The purpose behind this is to show how literature has flourished throughout more than twenty centuries.In contrast, the main argument explores the different manifestations of the weak position of literature and the different reasons behind that.The conclusion is meant to verify the basic postulate of the abstract and how some of the frequent calls of the death of literature are in fact question-begging.
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 | 0.016 | 0.035 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.010 | 0.008 |
| Science and technology studies | 0.009 | 0.034 |
| Scholarly communication | 0.026 | 0.022 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.004 | 0.011 |
| Insufficient payload (model declined to judge) | 0.014 | 0.002 |
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".