Bibliographic record
Abstract
This volume, based on the first two, identifies the verbal and nonverbal personal and environmental components of narrative and dramaturgic texts and the cinema — recreated in the first through the ‘reading act’ according to gaze mechanism and punctuation — and traces the coding-decoding processes of the characters’ semiotic-communicative itinerary between writer-creator and reader-recreator. In our total experience of a play or film we depend on the sensory and intellectual relationships between performers, audience and the environment of both, in a temporal dimension starting on the way to the theater and ending as one comes out. Two chapters discuss the speaking face and body of the characters and the explicit and implicit (at times ‘unstageable’) paralanguage, kinesics and quasiparalinguistic and extrasomatic and environmental sounds in the novel, the theater and the cinema, and the functions of personal and environmental silences. Another shows the functions, limitations and problems of punctuation systems in the creative-recreative processes and how a few new symbols and modifications would avoid some ambiguities. The stylistic, communicative and technical functions of nonverbal repertoires in the literary text are then identified as enriching critical analysis and offering new perspectives in translation. Finally, ‘literary anthropology’ (developed by the author in the 1970s) is is presented as an interdisciplinary area based on synchronic and diachronic analyses of the literatures of the different cultures as a source of anthropological and ethnological data. Nearly 1200 quotes from 170 authors and 291 works are added to those in the first two volumes.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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; both teacher heads agree on what is shown here.
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".