Bibliographic record
Abstract
This paper sets out a case for identifying a Carpathian Sprachbund comprising Czech, Slovak, Slovene, Kajkavian Croatian, Hungarian, Yiddish and the Bavarian-Austrian dialect of German. It investigates the distribution of eleven possible Sprachbund-forming features: five phonological (absence of tones, initial stress, phonemic opposition of length in vowels, absence of a palatalization correlation, the presence of medial l), six morpho-syntactical (a basic three-tense verbal system, an analytical future formed with an inchoative plus the infinitive, an original perfect as the only simple preterite, a pluperfect formed from a double perfect, a pre-posed definite and indefinite article). The information gathered comfortably satisfies the minimal conditions for establishing the existence of a Sprachbund set out by Sarah Grey Thomason, W.P. Schmid and others. The levels of participation of the individual languages also seem to be commensurable with those of the languages of the well known Balkan Sprachbund as set forth by Jouko Lindstedt.
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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".