Bibliographic record
Abstract
The existence of a connection between the loss of case inflection and the emergence of overt definiteness in Bulgarian can be supported with arguments of various weight. Among them are: (i) The comparison with parallel developments in Germanic and Romance, (ii) the ability of articles to perpetuate case distinctions after case marking on nouns and adjectives has been obliterated, (iii) their capacity to take over functions formerly performed by case, (iv) the participation of both processes in the analyticity-syntheticity cycle, (v) their involvement in the pendulum between hypo- and hyper-determination, and (vi) the parallel sequence of their implementation among noun classes defined by animacy, gender and number. I argue that the similarities of implementation between the two diachronic processes should be explained in terms of three interrelated variables: markedness, perceptual salience and frequency. The conclusions reached fit in with the predictions of the Usage-Based Model of Change espoused by Bybee and Phillips and those of Andersen’s Markedness Theory of Linguistic Change and show the potential of these models for the analysis of the core issues of the Balkan Sprachbund.
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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 | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".