Bibliographic record
Abstract
Umberto Eco's fame in Italy dates back to his early success with Opera aperta (1962) and II diario miuimo (1963).The medievalist, expert on James Joyce and philosopher rapidly increased his popularity as he affirmed himself with numerous writings on popular culture and mass media later collected in volumes such as Sugli specchi e altri saggi, Apocalittici e integrati and Dalla periferia dell'impero.In 1973 appeared Segno, Eco's first study on semiotics and in 1 976 he published A Tbeoij of Semiotics -\\]\2it many still consider a major milestone in the field of semiotics.The first monographic study on Umberto Eco was published by the distin- guished scholar Teresa de Lauretis.Her essay Umberto Eco (1981) came out soonafter the publication of the unprecedented international bestseller // twme della Rosa (1980) and remains one of the best interpretations of Eco's background and scholarship.In North America in the late seventies the name of Umberto Eco was
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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 | 0.006 | 0.037 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.018 | 0.012 |
| Insufficient payload (model declined to judge) | 0.039 | 0.011 |
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".