The Cases of the Albanian Language - Based on the Point of View of the Linguist Fatmir Agalliu
Bibliographic record
Abstract
This paper aims to provide the contribution of the linguist Fatmir Agalliu and his point of view for Albanian language’s cases. Fatmir Agalliu belongs to the first generation of Albanian linguists that were educated inside the country that have given important support in the study of Albanian Language. An important and big value case is also his contribution on the determination of the number of cases in Albanian Language. In the determination of the number and the classification of cases of a language, we should consider specific features of that language and we should not apply a case system of another language mechanically. In Albanian declension there are two different aspects, definite and indefinite aspect. That means that case forms are doubled. Therefore, instead of having two nominative forms, one for singular and one for plural, we have four forms in fact, two for singular (definite and indefinite) and two for plural (definite and indefinite). Form and the content should take into consideration in treating case as a grammatical category claims Fatmir Agalliu.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.001 |
| Science and technology studies | 0.005 | 0.018 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".