From Case to Adposition: The development of configurational syntax in Indo-European languages
Bibliographic record
Abstract
In the historical development of many languages of the IE phylum the loss of inflectional morphology led to the development of a configurational syntax, where syntactic position marked syntactic role. The first of these configurations was the adposition (preposition or postposition), which developed out of the uninflected particle/preverbs in the older forms of IE, by forming fixed phrases with nominal elements, a pattern later followed in the development of a configurational NP (article + nominal) and VP (auxiliary + verbal). The authors follow this evolution through almost four thousand years of documentation in all twelve language families of the Indo-European phylum, noting the resemblances between the structure of the original IE case system and the systemic oppositions to be found in the sets of adpositions that replaced it. Quite apart from its theoretical analyses and proposals which in themselves amount to a new look at many traditional problems, this study has a value in the collected store of information on cases, and on adpositions and their usage. There is also a considerable store of etymological information that is relevant to the description of the systemic development.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.012 |
| Scholarly communication | 0.004 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".