Subjunctives in Romanian Languages: Micro-Parametric Variation in Complement CPs and the Periphrastic Future
Bibliographic record
Abstract
This paper aims to (i) establish the micro-parametric variation in the development of the subjunctive CP in Romanian languages (Daco-Romanian/DR; Aromanian/AR; Megleno-Romanian/MR; Istro-Romanian/IR) and (ii) account for derivations in which the subjunctive is integrated into the formation of the periphrastic future in these languages. Briefly, the analysis points out that the subjunctive CP in Romanian languages can display a split Fin (unlike in other Balkan languages) and that the remerging of the split Fin finds itself at different stages: complete in DR, but incomplete at different degrees in AR, MR, and IR. The compatibility of the subjunctive morphology with the derivation of the periphrastic future follows from the semantic bleaching and grammaticization of the volitional ‘will’ and ‘have’ verbs, together with the Balkan Sprachbund subjunctive mood marking, which combine in a monoclausal construction via a serial verb derivation to compositionally check a Fin marked [+finite, modal].
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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 | 0.002 |
| 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 | 0.005 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| 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".