Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The study of scalar meanings or intensification has focused primarily on morphological means, yet there are many spoken languages where these concepts are expressed systematically by iconic prosody. Languages employ a combination of prosodic cues, including increased duration, raised pitch, special pitch patterns, and special voice quality, to signal scalar increases of property concepts, quantity, exhaustivity, duration, and so forth. In some languages, attitudinal meanings may also be expressed. Various labels have been used to refer to these iconic prosodic processes; below, the term prosodic intensification is used. This crosslinguistic overview looks at prosodic intensification from several angles: its phonetic realization (and orthographic representation), its meanings, its target domains, its iconic properties, and its status within each language's system (grammar or pragmatics?). It is shown that prosodic intensification is common not only in lesser-known languages but also in spoken and/or informal written registers of well-known languages and that this phenomenon is likely underreported. It is suggested that the underreporting of prosodic intensification, as well as researchers’ reluctance to treat its functions as part of grammar, is due to a persistent scholarly bias toward morphosyntactic over prosodic means.
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.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it