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
Clitics, those “funny little words” like English contracted future tense and pluperfect tense/conditional mood markers (’ll and ’d) or French pronominal objects (le ‘him’, la ‘her’, lui ‘to him/her’, etc.), have long been a source of fascination for linguists. Lacking an inherent stress that characterizes “well-behaved” words, clitics prosodically depend on a stressed sentence element, called their host, which makes them look and, in some contexts, behave like affixes (parts of words). Some clitics, Serbian second-position clitics being the case in point, also obey stringent linear ordering rules, different from those holding for fully-fledged sentence elements. This monograph offers a comprehensive formalized description of second-position clitics in standard Serbian from the viewpoint of the Meaning-Text theory, an approach relying on syntactic dependencies and oriented towards speech production, which sets it apart from most contemporary frameworks. It will be of interest for general linguists, Slavists, and advanced learners of Serbian.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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