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
Using Figurative Language presents results from a multidisciplinary decades-long study of figurative language that addresses the question, 'Why don't people just say what they mean?' This research empirically investigates goals speakers or writers have when speaking (writing) figuratively, and concomitantly, meaning effects wrought by figurative language usage. These 'pragmatic effects' arise from many kinds of figurative language including metaphors (e.g. 'This computer is a dinosaur'), verbal irony (e.g. 'Nice place you got here'), idioms (e.g. 'Bite the bullet'), proverbs (e.g. 'Don't put all your eggs in one basket') and others. Reviewed studies explore mechanisms - linguistic, psychological, social and others - underlying pragmatic effects, some traced to basic processes embedded in human sensory, perceptual, embodied, cognitive, social and schematic functioning. The book should interest readers, researchers and scholars in fields beyond psychology, linguistics and philosophy that share interests in figurative language - including language studies, communication, literary criticism, neuroscience, semiotics, rhetoric and anthropology.
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 | 0.000 | 0.000 |
| 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 | 0.001 | 0.001 |
| 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