Bibliographic record
Abstract
Paralanguage and kinesics define the tripartite nature of speech. Volume 2 builds on Poyatos’ book Paralanguage (1993) – reviewed by Mary Key as “the most amplified description of paralanguage available today”. It covers our basic voice components; the many normal or abnormal voice types; the communicative uses of physiological and emotional reactions like laughter, crying, sighing, coughing, sneezing, etc.; and word-like utterances beyond the official dictionary. Kinesics is viewed from interactive, intercultural and cross-cultural, and literary perspectives, with much needed research principles for the realistic study of gestures, manners and postures in their intersystemic links. Applications are given in the social or clinical sciences, intercultural communication, literature, painting, theater and cinema, etc. Related to both paralanguage and kinesics are the many eloquent sounds produced bodily, by manipulated objects and by the environment. A discussion of silence and stillness as opposed to sound and movement and related to darkness and light, shows their true interactive status, coding, functions, qualifiers, intersystemic co-structurations, positive and negative functions, and cross-cultural attitudes toward silence. The first two volumes are then brought together in a detailed model for studying our interactions with people and the environment, including certain emitting and transmitting congenital or traumatic limitations. 1608 quotations from 133 authors and 216 works vividly illustrate all topics.
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 | 0.004 |
| Science and technology studies | 0.004 | 0.010 |
| Scholarly communication | 0.012 | 0.007 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.030 | 0.007 |
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".