Bibliographic record
Abstract
In this paper, I offer an analysis to explain semantic and syntactic features of Old Anatolian Turkish possessive phrases based on a comparative approach with Standard Turkish. There are three types of possessive phrases in Standard Turkish, the first type of which expresses specificity and definiteness: "çocuğun kalemi", "çocuk kalemi", "çocuğun kalem". In Old Anatolian Turkish, while the first two types of possessive phrases above are frequently encountered, the third type, e.g."çocuğun kalem" is unavailable. What is more, the second type, e.g. “çocuk kalemi” can also express definiteness and specificity, which means that there is another type of standard possessive phrases, in addition to genitive-possessive construction. These two standard possessive phrases of the period can be used instead of each other. But there are some semantic and syntactic constraints between the above-mentioned two variants of standard possessive phrases in addition to the common features they share.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".