Bibliographic record
Abstract
ponderously set forth or Forced.I think, tor example, of the way in which BariUi shows the emergence in Leopardi's works of the nineteenth-century type par excellence: the "inetto" who Hves within the subsequent pages of a Musil, a Svevo, a Pirandello, a Kaflca.And then, with a reference that is immediately understand- able to today's readers, Barilli mentions the "inept" intellectual played by Alain Cluny in Fellini's La dolce vita, who kills himself "per tedio della vita"; and with this reference, Barilli reveals not only how relevant Leopardi is to Fellini specifi- cally and current cultural forms generally, but also how our contemporary art sheds retrospective light on the works of a "maggiore" who is far from the "embalmed" classic that generations of scholastic manuals and forced readings of his "A Silvia" have no doubt made of him for young readers.Barilli includes a brief but very useful bibliography of the best editions ol: the works he analyzes, along with a judicious selection of critical works.Otherwise there is no standard critical apparatus in the form of footnotes or appendices, so that the volume can be read through as if it were itself a "narrative."And such it is: a narrative about narrative, written with energy and conviction, and with the passion of an esteemed critic who is also and always a devoted reader.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.019 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.017 | 0.004 |
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".