Bibliographic record
Abstract
Abstract Venetan belongs to the group of northern Italian dialects, which are characterized by the presence of some phonological and morphological features that are common to French dialects and are attributed to the Celtic substratum. However, numerous traces of the Venetic substratum distinguish the Venetan dialects from the other (Gallo-Italic) dialects. In the linguistic history of the Venetan dialects, Venice played a central role due to the political power achieved by the Venetian Republic and its commercial expansion into many Adriatic and Mediterranean countries. There, the Venetian dialect laid the foundations for the development of a “colonial Venetian,” which has been used for several centuries. In the 21st century, Venetan is still vital in three regions of northeastern Italy (Veneto, Trentino Alto-Adige, Friuli Venezia Giulia), in Istria, and in Dalmatia. Small Venetan-speaking communities are also found elsewhere in Europe as well as Canada, Australia, and North and South America. These were the destination countries for the numerous emigrants who left Veneto between the end of the 19th century and the first half of the 20th century. Alongside several structural features that are common to the other northern Italian dialects, Venetan presents some distinctive properties. In phonology, apocope and syncope are restricted and consonant lenition in inter-vowel position is extensive. In verbal morphology, Venetan is characterized by the agglutination of the auxiliary ‘have’ with the clitic ghe, the alternation of the traditional Venetian form [ze] with the form [ɛ] for the auxiliary ‘be’ at present indicative 3rd persons, and the variety of past participle suffixes. In nominal derivation, some suffixes, such as the augmentatives -ón/-óne and -àso and the present participle suffix -ànte (which is used for the formation of nomina agentis) are very productive. In syntax, 2sg and 3sg/pl subject clitics are obligatory; dative and object clitics are used for doubling respectively datives and pronominal objects in the 1st and 2nd person; specific rules govern the structure of direct, indirect, and noncanonical interrogatives. The Venetan lexicon, which developed in several domains, particularly in marine (on the lagoon) and agricultural (on the mainland) contexts, mirrors the history of the region, revealing several traces of different strata (Celtic, Germanic, Greek, Slavic, Jewish, and French).
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 | 0.000 | 0.000 |
| 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 | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.058 | 0.007 |
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".