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Record W298121932

Ukrains'ki Hovory Rumunii: Dialektni Teksty

2005· article· hr· W298121932 on OpenAlexvenueaboutno aff
Terrence Carlton

Bibliographic record

VenueCanadian Slavonic Papers · 2005
Typearticle
Languagehr
FieldArts and Humanities
TopicLinguistics, Language Diversity, and Identity
Canadian institutionsnot available
Fundersnot available
KeywordsUkrainianSlavic languagesHistoryDialectologyGeographyTerminologyLinguisticsClassicsPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Nicolae Pavliuc and Ion Robciuc. Ukrains'ki hovory Rumunii: Dialektni teksty. Edmonton, L'viv, New York, Toronto: Instytut ukrainoznavstva im. I. Krypiakevycha NANU, 2003. xvi, 784 pp. $54.95, cloth.The work under review is not a study or description of Ukrainian dialects spoken in Romania but rather a collection of texts recorded in those areas of Romania where Ukrainian is spoken. It would have been preferable if this information had been cited in the title itself and not on the inside flyleaf. Also preferable because more accurate would have been to use the term hovirky Rumunii. Since it is now long established practice to distinguish hovir (a major dialect grouping) vs hovirka (a subdialect within a hovir). This is the terminology applied in the massive three-volume Atlas ukrajins'koi movy (1984, 1988, 2001) and is standard usage in all Ukrainian studies. The authors themselves return to this distinction in almost every instance throughout the text (flyleaf no. 3, pp. i, x, 102-3, 123, etc.). There is no question or controversy as to the origin of Ukrainian dialects in Romania. They do not in any sense constitute some grouping of late Proto-Slavic origin (or Early Proto-Ukrainian) as do the Northern vs Southwestern dialects, thus, termed hovory in modern Ukrainian dialectology. All the Ukrainian dialects in Romania are definitely subdialects, this is, hovirky of well identified dialects immediately to the north. Hutsul, Bukovynian and Transcarpathian-type dialects are found directly south of their counterparts within the modern Ukrainian Republic. The dialects of Dobrogea are refugee settlements resulting from the destruction of Zaporiz'ka Sich, 1775, whereas the villages in the Banat are the result of migrant labour from Transcarpathia at the turn of the XIX-XX centuries (pp. 724, 741 ). Although subdialects are later divisions of a major dialect group, they may retain very archaic features.Out of 784+xvi pp., pp. 105-632 (ca 65% of the entire work) contain the texts already mentioned. They come from 32 settlements, the names of which are cited in both the local Ukrainian pronunciation and in the official Romanian form. In each instance, the name and age of the informant are given, and there is usually more than one informant per village. Only 7 settlements record one informant each; one has as many as 6 (see pp. 74951 ). The narrative of each informant is broken down into subject headings such as boyhood years; military service; household management; village history; haying season; ploughing; parts of a scythe, plough or wagon; birds and animals both domestic and wild; cooking and preparing food; clothing; celebration from the village vechlrnytsi to Christmas and Easter rituals; baptism and weddings; growing and pickling of cabbage and/or cucumbers; spring work before seeding; whitewashing homes; local legends; forestry; how to butcher a swine, and a few more. Each text is transcribed into an easy-to-read type of Cyrillic IPA, the symbols of which are accurately defined (pp. 10-14). This very same notational system is used when describing the phonology, foreign influences, morphology and syntax of each group (pp. 27-107). These pages (in Ukrainian) are the only portions of the work which can be considered a dialectal study. The same data are then concisely summarized in English (pp. 725-732), in Romanian (pp. 733-740) and again in Ukrainian (pp. 741-748). The majority of the texts were recorded in 1963-5, one in 1962, one in 1974 and one in 1991.The bibliography lists 81 items, 20 of which are in Romanian, 10 in Russian, 3 in English, one in German and all the rest are in Ukrainian.A very interesting and necessary part of this work is the Dictionary of the Dialectal Texts (pp. 633-718). It contains those lexical items which the average speaker of modern standard Ukrainian would not recognize. This includes, of course, the numerous borrowings from Romanian and to a lesser degree from Hungarian in the Transcarpathian dialects. …

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.628
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0200.004

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.

Opus teacher head0.015
GPT teacher head0.199
Teacher spread0.184 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2005
Admission routes2
Has abstractyes

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