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
This book presents an innovative approach to linguistic semantics, starting from the idea that language is a mechanism for the expression of linguistic meanings as particular surface forms (texts). Semantics is that system of rules that ensures a transition from a Semantic Representation of the meaning of a family of synonymous sentences to the Deep-Syntactic Representation of a particular sentence. Framed in terms of Meaning-Text linguistics, this volume discusses the Deep-Syntactic Representation and the transition from Semantics to Deep-Syntax via Semantic paraphrasing (the equivalence amongst Semantic Representations), Deep-Syntactic paraphrasing (the equivalence amongst Deep-Syntactic Representations), and the passage between the two. A chapter is dedicated to the Explanatory Combinatorial Dictionary, a semantically based and co-occurrence-centered lexicon. Reflecting the author’s life-long dedication to semantics and syntax, this book is a paradigm-shifting contribution to language studies whose originality and daring will make it essential reading for linguists, anthropologists, semioticians, and computational linguists.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it