The Polysemy of Khilal: A Cognitive Approach
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 paper presents a cognitive analysis of the Arabic preposition khilāl “through” on the basis of Tyler & Evans’ (2001, 2003) model of Principled Polysemy. The study includes developing a semantic or polysemous network of khilāl through applying the criteria of this model, identifying its primary sense and distinct senses. The study also includes a contrastive analysis of the semantic networks of khilāl and the equivalent English preposition through in terms of their proto-scenes and the distinct senses associated with each. Analyses showed that both khilāl and through share the same proto-scene of a Trajector Traversing a bounded Landmark. Moreover, khilāl seems to have very limited uses comparing to through and this, as I assume, might be due to its restricted use in Modern Standard Arabic, decreasing as a result its pragmatic strengthening possibilities.
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 | 0.087 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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