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Latgalistikys kongresu materiali, III. 2011. - Latvijas Universitāte

Latgalistikys kongresu materiali, III. 2011. - Latvijas Universitāte

Latgalistikys kongresu materiali, III. 2011. - Latvijas Universitāte

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Some general remarks about the data nevertheless remain necessary.<br />

– To give a realistic overview of the sociolinguistic situation of the<br />

analysed area, the original data should include answers regarding situations<br />

of several ambits (see table above) and the number of the analysed<br />

situations per ambit should be balanced.<br />

– Since the values are influenced by the number of analysed languages,<br />

comparing data in pairs or grouped can, in extreme cases, give slightly different<br />

results. The distance between two monolingual points x and y owing<br />

each a different language L x and L y is 0.98 if the points are compared in<br />

couples (2 languages) and 0.94 in a group including at least 5 points and<br />

5 languages. But since the method is thought mainly to be used to count<br />

distances through sociolinguistic continua in which multilingualism is<br />

widespread and where rarely more than 5 or 6 codes are included, this error<br />

should not cause any inconvenience. Additionally, note that the above<br />

distances do not reach the value of 1: this is due to the degree of supposed<br />

freedom of language choice (multilingualism) within a single situation (see<br />

above).<br />

– Extreme cases: the formula gives values between 0 and 1 in order to<br />

include within this range all possible actual situations on the territory, but<br />

not all statistical/mathematical possibilities. Here are a couple of examples<br />

of values related to sociologically impossible realities (we assume that socially<br />

perfect bilingualism does not exist):<br />

a) the distance between 2 perfectly bilingual points sharing<br />

1 language (2 points, 3 languages of which speakers have 1 in common<br />

— 100% of speakers in each situation) is 0.96, exactly as the distance<br />

between 2 monolingual points having no language in common;<br />

b) the distance between 2 perfectly bilingual points having<br />

2 different languages each (2 points, 4 languages — 2 of them having<br />

100% of speakers in each situation in the first point and the other having<br />

2 languages with 100% of speakers for each situation) is 1,35.<br />

To the numerical values resulting from this analysis a variation between<br />

sociolinguistic situations classified according to the current categorisations<br />

(L1, L2, L3 = languages, Lh/Ll = high language/low language in<br />

diglossia or dilalia (for a sociolinguistic discussion of the terms as used<br />

here, see Dell’Aquila, Iannàccaro 2004) can be associated:<br />

0.0–0.3 similar situations;<br />

0.3–0.5 monolingualism in L1 vs. dilalia with L1 as Lh and L2 as Ll<br />

0.4–0.5 dilalia L1/L2 vs. dilalia L1/L3<br />

0.5–0.6 diglossia L1/L3 vs. diglossia L2/L3<br />

0.6–0.8 monolingualism L1 vs. diglossia L1/L2<br />

78

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