Balto-Slavic Language Group - Revision history

Stecor at 18:19, 28 October 2021

2021-10-28T18:19:33Z

Fbesche at 13:41, 3 May 2021

2021-05-03T13:41:01Z

Fbesche at 10:30, 3 May 2021

2021-05-03T10:30:48Z

Fbesche: Fbesche moved page Cult lang2 bin4 to Balto-Slavic Language Group

2021-04-29T13:56:26Z

Fbesche moved page Cult lang2 bin4 to Balto-Slavic Language Group

Fbesche: Created page with " {{Indicator |datatype = Numeric |scale = Binary |val..."

2020-11-24T14:06:23Z

Created page with " {{Indicator |datatype = Numeric |scale = Binary |val..."

New page

{{Indicator
|datatype = Numeric
|scale = Binary
|valuelabels = 1 = Yes, 0 = No
|techname = cult_lang2_bin4
|category= [[Culture|Culture]]
|label = Balto-Slavic Language Group
|relatedindicators = cult_spheres; cult_lang2_bin1; cult_lang2_bin2; cult_lang2_bin3; cult_lang2_bin5; cult_lang2_bin6; cult_lang2_bin7; cult_lang2_bin8; cult_lang2_bin9; cult_lang2_bin10; cult_lang2_bin11; cult_lang2_bin12; cult_lang2_bin13; cult_lang2_bin14; cult_lang2_bin15; cult_lang2_bin16; cult_lang2_bin17; cult_lang2_bin18; cult_lang2_bin19; cult_lang2_bin20; cult_lang2_bin21; cult_lang2_bin22; cult_lang2_bin23; cult_lang2_bin24; cult_lang2_bin25; cult_lang2_bin26; cult_lang2_bin27; cult_lang2_bin28; cult_lang2_bin29; cult_lang2_bin30; cult_lang2_bin31; cult_lang_english; cult_lang_spanish; cult_lang_arabic
|description = The language spoken belongs to the Balto-Slavic language group
|codingrules = To classify a country’s dominant language we used the Ethnologue database as done by Windzio (2018). We used the Level II classification which has 33 distinct categories of languages, however the linguistic similarity within those categories is very high, compared to differences of every single language spoken in a state. “To give an example: the dominant language in Brazil is Portuguese, which is an Indo-European language (level I) and belongs together with 45 other languages to the “Italic” sub-branch at level II.” (Windzio 2018, 24). We therefore have – after coding – membership of countries in 31 different families of language. To strengthen the computational weight of having a, what we call hegemonic language as the dominant one, we furthermore coded whether the dominant language in a country is English, Spanish, or Arabic. By introducing the hegemonic languages we give greater regard to specifically hegemonic languages that might be carrying cultural orientation on to a specific hegemonic cultural model. We assume the dominant language to change very slowly. Thus it is in our final dataset not a time-variant variable but a stable one over all observed years.
Since there was no data available for some smaller states, that emerged very late, we filled the missing data for the following entities with the values of the entities in the parentheses: Macedonia (Greece), South-Sudan (Sudan), and Kosovo (Albania). We are aware that these are cases that specifically depict a secession of an ethnically very dense and different entity out of a bigger one. Therefore filling missing data like this is arguably not an apt way of dealing with it. It is however, the best option for a first approach of dealing with this particular problem.

For further information see the Technical Paper:

|citation =
|relatedpublications = NA (no information available)
|projectmanagers = Besche-Truthe, Fabian; Windzio, Michael; Seitzer, Helen
|datarelease = 2020.11.23
|revisions = NA (no information available)
|sources = https://www.ethnologue.com/
}}

@@ Line 53: / Line 53: @@
 |citation =
 |relatedpublications = NA (no information available)
-|projectmanagers = Besche-Truthe, Fabian; Windzio, Michael; Seitzer, Helen
+|projectmanagers = Fabian Besche-Truthe, Michael Windzio, Helen Seitzer
-|datarelease = 2020.11.23
+|datarelease = <ul><li>Version 0.001: Initial release</li></ul>
-|revisions = NA (no information available)
+|revisions = No revisions yet
-|sources = [https://www.ethnologue.com/ Ethnologue database]
+|sources = https://www.ethnologue.com/ Ethnologue database
 }}

@@ Line 49: / Line 49: @@
 Since there was no data available for some smaller states, that emerged very late, we filled the missing data for the following entities with the values of the entities in the parentheses: Macedonia (Greece), South-Sudan (Sudan), and Kosovo (Albania). We are aware that these are cases that specifically depict a secession of an ethnically very dense and different entity out of a bigger one. Therefore filling missing data like this is arguably not an apt way of dealing with it. It is however, the best option for a first approach of dealing with this particular problem.
-For further information see the Technical Paper:
+For further information see the Technical Paper: [https://www.socialpolicydynamics.de/sfb-1342-publikationen/sfb-1342-technical-paper-series?publ=10072 Besche-Truthe, Fabian; Seitzer, Helen; Windzio, Michael. 2020 “Cultural Spheres – Creating a dyadic dataset of cultural proximity”. SFB 1342 Technical Paper Series, 5. Bremen, SFB 1342.]
 |citation =
@@ Line 56: / Line 56: @@
 |datarelease = 2020.11.23
 |revisions = NA (no information available)
-|sources = [https://www.ethnologue.com/ | Ethnologue database]
+|sources = [https://www.ethnologue.com/ Ethnologue database]
 }}

@@ Line 10: / Line 10: @@
 |category= [[Culture|Culture]]
 |label = Balto-Slavic Language Group
-|relatedindicators = cult_spheres; cult_lang2_bin1; cult_lang2_bin2; cult_lang2_bin3; cult_lang2_bin5; cult_lang2_bin6; cult_lang2_bin7; cult_lang2_bin8; cult_lang2_bin9; cult_lang2_bin10; cult_lang2_bin11; cult_lang2_bin12; cult_lang2_bin13; cult_lang2_bin14; cult_lang2_bin15; cult_lang2_bin16; cult_lang2_bin17; cult_lang2_bin18; cult_lang2_bin19; cult_lang2_bin20; cult_lang2_bin21; cult_lang2_bin22; cult_lang2_bin23; cult_lang2_bin24; cult_lang2_bin25; cult_lang2_bin26; cult_lang2_bin27; cult_lang2_bin28; cult_lang2_bin29; cult_lang2_bin30; cult_lang2_bin31; cult_lang_english; cult_lang_spanish; cult_lang_arabic
+|relatedindicators = <ul>
 |description = The language spoken belongs to the Balto-Slavic language group
 |codingrules = To classify a country’s dominant language we used the Ethnologue database as done by Windzio (2018). We used the Level II classification which has 33 distinct categories of languages, however the linguistic similarity within those categories is very high, compared to differences of every single language spoken in a state. “To give an example: the dominant language in Brazil is Portuguese, which is an Indo-European language (level I) and belongs together with 45 other languages to the “Italic” sub-branch at level II.” (Windzio 2018, 24). We therefore have – after coding – membership of countries in 31 different families of language. To strengthen the computational weight of having a, what we call hegemonic language as the dominant one, we furthermore coded whether the dominant language in a country is English, Spanish, or Arabic. By introducing the hegemonic languages we give greater regard to specifically hegemonic languages that might be carrying cultural orientation on to a specific hegemonic cultural model. We assume the dominant language to change very slowly. Thus it is in our final dataset not a time-variant variable but a stable one over all observed years.
@@ Line 22: / Line 56: @@
 |datarelease = 2020.11.23
 |revisions = NA (no information available)
-|sources = https://www.ethnologue.com/
+|sources = [https://www.ethnologue.com/ | Ethnologue database]
 }}

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