Oswalt-1971-100 and renaming stability variables

concepticondata/conceptlists.tsv

@@ -472,4 +472,5 @@ Soederholm-2013-420	Söderholm, Carina and Häyry, Emilia and Laine, Matti and K
 Amsel-2012-559	Amsel, Ben D. and Urbach, Thomas P. and Kutas, Marta	2012		559	ratings	English	English	https://doi.org/10.3758/s13428-012-0215-z	Amsel2012		This list of 559 object concepts was rated for perceptual modalities (color, motion, auditory, olfactory, gustatory, graspability, pain) as well as familiarity. Ratings were given on an 8-point scale.	1028-1041	
 Eilola-2010-210	Eilola, Tiina M. and Havelka, Jelena	2010		210	ratings	English, Finnish	English, Finnish	https://doi.org/10.3758/BRM.42.1.134	Eilola2010		This list of 210 words contains ratings of familiarity, valence, emotionality, offensiveness, and concreteness for Finnish and British English nouns, including 34 taboo words. Ratings were provided by native speakers of each language. For British English in particular, the aim of the study was to collect data comparable to the American English norms in the Affective Norms for English Words database [(Bradley & Lang, 1999)](:bib:Bradley1999). The present mappings were based on the English words.	134-140
 Pache-2023-207	Pache, Matthias	2023		207	basic	English	Chibchan	https://doi.org/10.1086/722240	Pache2023		This list was used for a comparative analysis of the Chibchan languages with the aim of revising their internal genealogical classification. The author claims that the list represents the Swadesh 207 list, however, it is unclear which list is meant exactly, since Swadesh never published a list containing 207 words. The list is likely very similar to [Comrie(1977)](:bib:Comrie1977) but uses slightly different glosses. The data for the Chibchan languages was gathered from existing sources on various Chibchan languages.	81-103
-Guenther-2022-30	Günther, Fritz and Rinaldi, Luca	2022		30	norms	English	global	https://doi.org/10.1038/s41598-022-12027-5	Guenther2022		This dataset combines cross-linguistic lexical frequency information for body-part terms with anatomical and neurobiological measures of body representation. For each concept, lexical forms are provided for a wide range of languages (Amharic, Arabic, Bengali, Chinese, Croatian, Czech, Dutch, English, German, Greek, Hebrew, Hindi, Hungarian, Italian, Japanese, Latin, Latvian, Malay, Polish, Portuguese, Russian, Somali, Spanish, Swahili, Tagalog, Tamil, Turkish, Urdu, and Yoruba). For each language, separate variables encode the base form, the plural form, overall corpus frequency, and frequency per million words, derived from language-specific corpora. Additionally, the list contains measures of cortical representational size and physical body surface area, which is encoded using anterior–posterior (AP) distinctions. Further, different definitions of "arm" were used: one unit spanning shoulder to wrist (with the hand treated separately), or upper arm (shoulder to elbow) and forearm (elbow to wrist) treated separetely.	1-13
+Guenther-2022-30	Günther, Fritz and Rinaldi, Luca	2022		30	norms	English	global	https://doi.org/10.1038/s41598-022-12027-5	Guenther2022		This dataset combines cross-linguistic lexical frequency information for body-part terms with anatomical and neurobiological measures of body representation. For each concept, lexical forms are provided for a wide range of languages (Amharic, Arabic, Bengali, Chinese, Croatian, Czech, Dutch, English, German, Greek, Hebrew, Hindi, Hungarian, Italian, Japanese, Latin, Latvian, Malay, Polish, Portuguese, Russian, Somali, Spanish, Swahili, Tagalog, Tamil, Turkish, Urdu, and Yoruba). For each language, separate variables encode the base form, the plural form, overall corpus frequency, and frequency per million words, derived from language-specific corpora. Additionally, the list contains measures of cortical representational size and physical body surface area, which is encoded using anterior–posterior (AP) distinctions. Further, different definitions of "arm" were used: one unit spanning shoulder to wrist (with the hand treated separately), or upper arm (shoulder to elbow) and forearm (elbow to wrist) treated separetely.	1-13
+Oswalt-1971-100	Oswalt, Robert L.	1971		100	basic, relations	English	Athapaskan, Pomo, Eastern Austronesian, Japanese, Coast Salish	https://www.jstor.org/stable/30029088	Oswalt1971		This list contains combined and individual Referential Similarity Index (RSI) values calculated across multiple linguistic families: Athapaskan, Pomo, Eastern Austronesian, Japanese and Coast Salish. Instead of averaging the family-level RSI scores, the combined value is calculated by first adding up the families’ underlying values and only then computing the final index. This means larger and more internally diverse families contribute more to the result than smaller ones.	421-434

concepticondata/conceptlists/Dellert-2017-1016.tsv

@@ -1,4 +1,4 @@
-ID	NUMBER	RANK	STABILITY_SCORE	GERMAN	NELEX_ID	ENGLISH	RUSSIAN	GERMAN_ANNOTATION	ENGLISH_ANNOTATION	RUSSIAN_ANNOTATION	CONCEPTICON_GLOSS	CONCEPTICON_ID	NOTE
+ID	NUMBER	RANK	NORTH_EURASIAN_STABILITY_SCORE	GERMAN	NELEX_ID	ENGLISH	RUSSIAN	GERMAN_ANNOTATION	ENGLISH_ANNOTATION	RUSSIAN_ANNOTATION	CONCEPTICON_GLOSS	CONCEPTICON_ID	NOTE
 Dellert-2017-1016-1	1	44	-2.239237	Auge	Auge::N	eye	глаз	Anatomie	anatomy	анатомия	EYE	1248	
 Dellert-2017-1016-2	2	34	-2.249194	Ohr	Ohr::N	ear	ухо	Anatomie	anatomy	анатомия	EAR	1247	
 Dellert-2017-1016-3	3	149	-1.195463	Nase	Nase::N	nose	нос	Anatomie	anatomy	анатомия	NOSE	1221	

concepticondata/conceptlists/Dellert-2017-1016.tsv-metadata.json

@@ -48,7 +48,7 @@
                     }, 
                     {
                         "datatype": "string", 
-                        "name": "STABILITY_SCORE"
+                        "name": "NORTH_EURASIAN_STABILITY_SCORE"
                     }, 
                     {
                         "dc:description": "gloss in GERMAN", 

concepticondata/conceptlists/Oswalt-1971-100.tsv

@@ -0,0 +1,101 @@
+ID	NUMBER	CONCEPTICON_ID	CONCEPTICON_GLOSS	ENGLISH	COMBINED_STABILITY_SCORE	ATHAPASKAN_STABILITY_SCORE	POMO_STABILITY_SCORE	EASTERN_AUSTRONESIAN_STABILITY_SCORE	JAPANESE_STABILITY_SCORE	COAST_SALISH_STABILITY_SCORE
+Oswalt-1971-100-1	1	667	ROAD	road	97.2	92.9	100	100	100	100
+Oswalt-1971-100-2	2	1498	TWO	two	95	100	100	100	100	49.9
+Oswalt-1971-100-3	3	1247	EAR	ear	92.8	100	100	64.2	100	100
+Oswalt-1971-100-4	4	1248	EYE	eye	92.6	100	100	100	100	25.5
+Oswalt-1971-100-5	5	1392	LOUSE	louse	92.2	100	100	61.2	100	100
+Oswalt-1971-100-6	6	1393	HORN (ANATOMY)	horn	90.7	100	100	NA	100	25.5
+Oswalt-1971-100-7	7	1215	THOU	thou	90.7	100	100	100	7.5	100
+Oswalt-1971-100-8	8	1380	TOOTH	tooth	87.9	100	100	39.3	100	100
+Oswalt-1971-100-9	9	227	FISH	fish	85.7	100	100	100	7.5	49.9
+Oswalt-1971-100-10	10	1209	I	I	83.8	100	100	65.5	7.5	100
+Oswalt-1971-100-11	11	948	WATER	water	82.1	86.6	100	37.6	100	100
+Oswalt-1971-100-12	12	1394	BONE	bone	81.1	86.6	100	69.7	100	25.5
+Oswalt-1971-100-13	13	1405	NAME	name	80.6	100	100	47.7	100	11
+Oswalt-1971-100-14	14	778	SMOKE (EXHAUST)	smoke	79.2	86.6	100	67.4	100	11
+Oswalt-1971-100-15	15	1408	HEAR	hear	75.2	100	65.3	35.6	100	49.9
+Oswalt-1971-100-16	16	1221	NOSE	nose	73.6	73.2	100	21.9	100	100
+Oswalt-1971-100-17	17	1416	SIT	sit	73.4	100	100	13.5	7.5	100
+Oswalt-1971-100-18	18	1212	WE	we	73.3	74.4	100	64.2	7.5	100
+Oswalt-1971-100-19	19	1224	LIVER	liver	73.2	63.5	100	64.2	100	49.9
+Oswalt-1971-100-20	20	857	STONE	stone	70.6	59.3	100	72	100	25.5
+Oswalt-1971-100-21	21	906	TREE	tree	70.6	33.8	100	100	100	NA
+Oswalt-1971-100-22	22	1411	LIE (REST)	lie	70.3	100	100	22.8	7.5	49.9
+Oswalt-1971-100-23	23	221	FIRE	fire	69.4	89.1	100	17	100	3.5
+Oswalt-1971-100-24	24	1040	HAIR	hair	68.1	100	68.2	17	100	11
+Oswalt-1971-100-25	25	674	MOUTH	mouth	67	67.4	100	0	100	100
+Oswalt-1971-100-26	26	1493	ONE	one	66.4	100	30.9	38.4	100	25.5
+Oswalt-1971-100-27	27	1442	STAND	stand	64.8	48.9	74.3	100	100	3.5
+Oswalt-1971-100-28	28	744	EGG	egg	62.8	90.6	100	0	2.9	NA
+Oswalt-1971-100-29	29	628	LEAF	leaf	62.5	84.4	20	61.2	100	25.5
+Oswalt-1971-100-30	30	1235	WHO	who	62.4	NA	42.4	69.7	100	49.9
+Oswalt-1971-100-31	31	1277	HAND	hand	61	80	31.4	13.5	100	100
+Oswalt-1971-100-32	32	937	BIRD	bird	60.5	11.1	100	100	100	NA
+Oswalt-1971-100-33	33	1401	DRINK	drink	60.5	68.7	66.6	18.1	100	NA
+Oswalt-1971-100-34	34	1333	NECK	neck	58.8	84.5	11.9	13.3	100	100
+Oswalt-1971-100-35	35	1301	FOOT	foot	58.5	86.6	100	3	7.5	25.5
+Oswalt-1971-100-36	36	323	FAT (ORGANIC SUBSTANCE)	fat	58.3	64.4	100	0	100	25.5
+Oswalt-1971-100-37	37	1203	LONG	long	56.8	81.2	44.5	14.4	100	25.5
+Oswalt-1971-100-38	38	1409	SEE	see	55.2	100	26.1	0	100	0
+Oswalt-1971-100-39	39	1220	TAIL	tail	54.9	91.3	72.2	3	7.5	25.5
+Oswalt-1971-100-40	40	1233	NIGHT	night	54.2	23.5	100	61.2	100	25.5
+Oswalt-1971-100-41	41	683	PERSON	person	53.5	48.1	66.6	28.1	100	NA
+Oswalt-1971-100-42	42	1458	SAY	say	52.6	100	0	0	100	25.5
+Oswalt-1971-100-43	43	1228	EARTH (SOIL)	earth	51.3	78.8	39.6	5.6	7.5	100
+Oswalt-1971-100-44	44	1202	BIG	big	50.9	100	42.2	6.7	7.5	3.5
+Oswalt-1971-100-45	45	1205	TONGUE	tongue	50.9	32.3	100	35.9	7.5	100
+Oswalt-1971-100-46	46	1256	HEAD	head	50.7	90.8	29.9	12.9	7.5	49.9
+Oswalt-1971-100-47	47	1035	GOOD	good	50.2	62.5	66.6	5.4	7.5	100
+Oswalt-1971-100-48	48	1494	DIE	die	49.7	34.3	17	100	100	25.5
+Oswalt-1971-100-49	49	1214	THIS	this	49.5	53.3	65.0	10.3	100	31.6
+Oswalt-1971-100-50	50	1430	STAR	star	49.5	69.1	7.1	39.3	100	25.5
+Oswalt-1971-100-51	51	1198	MANY	many	49.1	86.6	68.2	0	4.5	3.5
+Oswalt-1971-100-52	52	1402	BREAST	breast	48.7	NA	47.4	NA	100	0
+Oswalt-1971-100-53	53	1489	CLOUD	cloud	48.5	37.4	72.2	32.6	100	25.5
+Oswalt-1971-100-54	54	646	ASH	ashes	47.3	18.2	65.3	61.2	100	NA
+Oswalt-1971-100-55	55	72	CLAW	claw	45.7	NA	39.6	NA	100	3.5
+Oswalt-1971-100-56	56	1335	WHITE	white	44.6	52.5	17.9	0	100	100
+Oswalt-1971-100-57	57	671	SAND	sand	45.5	46.4	39.7	39.3	100	11
+Oswalt-1971-100-58	58	1204	BARK	bark	45.3	6.4	100	32.6	100	61.7
+Oswalt-1971-100-59	59	1336	EAT	eat	43.8	48.1	29.1	61.2	3.3	61.7
+Oswalt-1971-100-60	60	946	BLOOD	blood	43.3	47.1	65.3	14.4	100	25.5
+Oswalt-1971-100-61	61	1371	KNEE	knee	43	80.2	2.4	NA	7.5	11
+Oswalt-1971-100-62	62	1253	RAIN (RAINING)	rain	42	36	42.4	32.6	100	25.5
+Oswalt-1971-100-63	63	163	BLACK	black	40.9	58.2	25.4	0	100	25.5
+Oswalt-1971-100-64	64	1201	FEATHER	feather	40.9	40.7	47.4	13.1	100	25.5
+Oswalt-1971-100-65	65	763	SKIN	skin	40	41.2	22.1	32.6	100	25.5
+Oswalt-1971-100-66	66	2009	DOG	dog	39.9	54.9	0	14.9	100	49.9
+Oswalt-1971-100-67	67	1231	NEW	new	39.7	NA	66.6	37.6	4.5	25.5
+Oswalt-1971-100-68	68	1443	WALK	walk	39	NA	65.3	0	100	3.5
+Oswalt-1971-100-69	69	1287	COLD	cold	38.3	82.3	8.4	12.9	7.5	3.5
+Oswalt-1971-100-70	70	78	THAT	that	37.6	26.3	25.1	10.3	100	100
+Oswalt-1971-100-71	71	962	WOMAN	woman	36.2	14.5	15.7	36.2	100	100
+Oswalt-1971-100-72	72	1417	KILL	kill	36.1	34.4	2.4	41.1	100	NA
+Oswalt-1971-100-73	73	1585	SLEEP	sleep	35.8	21.1	66.6	32.6	49.9	25.5
+Oswalt-1971-100-74	74	1223	HEART	heart	34.3	62.1	26.5	5.9	4.5	25.5
+Oswalt-1971-100-75	75	1395	ROUND	round	34.3	NA	5.8	NA	100	25.5
+Oswalt-1971-100-76	76	1236	WHAT	what	33.7	NA	22.7	24.5	7.5	100
+Oswalt-1971-100-77	77	634	MEAT	meat	33.1	50.4	39.7	6.7	4.5	31.6
+Oswalt-1971-100-78	78	1313	MOON	moon	32.6	11.1	41.9	NA	100	NA
+Oswalt-1971-100-79	79	1403	BITE	bite	31.7	26.5	100	0	7.5	3.5
+Oswalt-1971-100-80	80	670	ROOT	root	30.7	NA	7.7	9.4	100	49.9
+Oswalt-1971-100-81	81	1240	NOT	not	30.4	NA	25.9	0	100	NA
+Oswalt-1971-100-82	82	2102	BURN	burn	29.6	33.6	17.9	0	100	25.5
+Oswalt-1971-100-83	83	1439	SWIM	swim	29.5	35.7	7.4	17.0	100	3.5
+Oswalt-1971-100-84	84	1286	HOT	hot	29.4	15.3	45.4	21.1	100	0
+Oswalt-1971-100-85	85	1446	COME	come	28.5	NA	35.6	0	100	0
+Oswalt-1971-100-86	86	639	MOUNTAIN	mountain	27.8	12.2	65.3	17.7	35	NA
+Oswalt-1971-100-87	87	156	RED	red	27.1	25.2	25.4	7.9	100	3.5
+Oswalt-1971-100-88	88	1425	GREEN	green	26.9	NA	17.9	0	100	25.5
+Oswalt-1971-100-89	89	1343	SUN	sun	26.7	27.3	72.2	3	7.5	0
+Oswalt-1971-100-90	90	1398	DRY	dry	26.3	46	4.6	6.4	7.5	49.9
+Oswalt-1971-100-91	91	1441	FLY (MOVE THROUGH AIR)	fly	26.1	NA	26.5	0	100	3.5
+Oswalt-1971-100-92	92	1447	GIVE	give	24.6	NA	65.3	3	7.5	3.5
+Oswalt-1971-100-93	93	1251	BELLY	belly	22.5	NA	24.6	24.6	4.5	31.6
+Oswalt-1971-100-94	94	3626	KNOW	know	22.5	26	3.6	6.7	100	0
+Oswalt-1971-100-95	95	714	SEED	seed	17.3	NA	0	0	100	3.5
+Oswalt-1971-100-96	96	98	ALL	all	16	NA	0	3	64.2	25.5
+Oswalt-1971-100-97	97	1246	SMALL	small	15.7	17.8	37.2	0	7.5	3.5
+Oswalt-1971-100-98	98	1429	FULL	full	15.4	32.3	0	NA	4.5	25.5
+Oswalt-1971-100-99	99	1424	YELLOW	yellow	15.2	NA	5.8	0	64.2	NA
+Oswalt-1971-100-100	100	1554	MAN	man	13.6	NA	24.2	0	7.5	25.5

concepticondata/conceptlists/Oswalt-1971-100.tsv-metadata.json

@@ -0,0 +1,96 @@
+{
+    "@context": [
+        "http://www.w3.org/ns/csvw",
+        {
+            "@language": "en"
+        }
+    ],
+    "dialect": {
+        "encoding": "utf-8-sig",
+        "delimiter": "\t",
+        "skipBlankRows": true
+    },
+    "tables": [
+        {
+            "tableSchema": {
+                "columns": [
+                    {
+                        "datatype": {
+                            "base": "string",
+                            "format": "[a-zA-Z]+\\-[0-9]{4}\\-[0-9]+[a-z]?\\-[0-9]+[a-z]?$"
+                        },
+                        "name": "ID"
+                    },
+                    {
+                        "datatype": {
+                            "base": "string",
+                            "format": "[0-9\\.]+([a-z\\\u2013]+)?$"
+                        },
+                        "name": "NUMBER"
+                    },
+                    {
+                        "datatype": {
+                            "base": "integer",
+                            "minimum": "1"
+                        },
+                        "name": "CONCEPTICON_ID"
+                    },
+                    {
+                        "datatype": "string",
+                        "name": "CONCEPTICON_GLOSS"
+                    },
+                    {
+                        "datatype": "string",
+                        "name": "ENGLISH"
+                    },
+                    {
+                      "name": "COMBINED_STABILITY_SCORE",
+                      "null": "NA",
+                      "datatype": {
+                        "base": "float"
+                      }
+                    },
+                    {
+                      "name": "ATHAPASKAN_STABILITY_SCORE",
+                      "null": "NA",
+                      "datatype": {
+                        "base": "float"
+                      }
+                    },
+                    {
+                      "name": "POMO_STABILITY_SCORE",
+                      "null": "NA",
+                      "datatype": {
+                        "base": "float"
+                      }
+                    },
+                    {
+                      "name": "EASTERN_AUSTRONESIAN_STABILITY_SCORE",
+                      "null": "NA",
+                      "datatype": {
+                        "base": "float"
+                      }
+                    },
+                    {
+                      "name": "JAPANESE_STABILITY_SCORE",
+                      "null": "NA",
+                      "datatype": {
+                        "base": "float"
+                      }
+                    },
+                    {
+                      "name": "COAST_SALISH_STABILITY_SCORE",
+                      "null": "NA",
+                      "datatype": {
+                        "base": "float"
+                      }
+                    }
+                ],
+                "primaryKey": [
+                    "ID"
+                ]
+            },
+            "url": "Oswalt-1971-100.tsv"
+        }
+    ]
+}

concepticondata/conceptlists/Petroni-2010-100.tsv

@@ -1,4 +1,4 @@
-ID	NUMBER	ENGLISH	CONCEPTICON_ID	CONCEPTICON_GLOSS	S_I	RANK
+ID	NUMBER	ENGLISH	CONCEPTICON_ID	CONCEPTICON_GLOSS	INDO_EUROPEAN_STABILITY_SCORE	RANK
 Petroni-2010-100-1	1	You	1215	THOU	0.45395	1
 Petroni-2010-100-2	2	Three	492	THREE	0.44102	2
 Petroni-2010-100-3	3	Mother	1216	MOTHER	0.36627	3

concepticondata/conceptlists/Petroni-2010-100.tsv-metadata.json

@@ -44,7 +44,7 @@
                     },
 					{
                         "datatype": "float", 
-                        "name": "S_I"
+                        "name": "INDO_EUROPEAN_STABILITY_SCORE"
                     },
                     {
                         "datatype": "integer", 

concepticondata/conceptlists/Pozdniakov-2014-100b.tsv

@@ -1,4 +1,4 @@
-ID	NUMBER	ENGLISH	RANK	STABILITY_SCORE	CONCEPTICON_ID	CONCEPTICON_GLOSS
+ID	NUMBER	ENGLISH	RANK	ATLANTIC_STABILITY_SCORE	CONCEPTICON_ID	CONCEPTICON_GLOSS
 Pozdniakov-2014-100b-1	1	eye	1	0.83	1248	EYE
 Pozdniakov-2014-100b-2	2	head	2	0.76	1256	HEAD
 Pozdniakov-2014-100b-3	3	ear	3	0.71	1247	EAR

concepticondata/conceptlists/Pozdniakov-2014-100b.tsv-metadata.json

@@ -48,7 +48,7 @@
                     }, 
                     {
                         "datatype": {"base": "decimal", "minimum": 0, "maximum": 1}, 
-                        "name": "STABILITY_SCORE"
+                        "name": "ATLANTIC_STABILITY_SCORE"
                     }
                 ], 
                 "primaryKey": [

concepticondata/conceptlists/Thomas-1960-168.tsv

@@ -1,4 +1,4 @@
-ID	NUMBER	ENGLISH	CATEGORY	SWADESH_1955_STABILITY_SCORE	STABILITY_SCORE	CONCEPTICON_ID	CONCEPTICON_GLOSS	RANK
+ID	NUMBER	ENGLISH	CATEGORY	SWADESH_1955_STABILITY_SCORE	MON_KHMER_STABILITY_SCORE	CONCEPTICON_ID	CONCEPTICON_GLOSS	RANK
 Thomas-1960-168-1	1	and	correlatives	57	86	1577	AND	39
 Thomas-1960-168-2	2	because	correlatives	25	43	1157	BECAUSE	139
 Thomas-1960-168-3	3	far	location	74	86	1406	FAR	40

concepticondata/conceptlists/Thomas-1960-168.tsv-metadata.json

@@ -52,7 +52,7 @@
                     }, 
                     {
                         "datatype": {"base": "nonNegativeInteger", "maximum": 100}, 
-                        "name": "STABILITY_SCORE"
+                        "name": "MON_KHMER_STABILITY_SCORE"
                     }, 
                     {
                         "datatype": {"base": "positiveInteger", "minimum": 1, "maximum": 168}, 

concepticondata/references/references.bib

@@ -4964,4 +4964,13 @@ @article{Guenther2022
   number                              = {8043},
   pages                               = {1--13},
   year                                = {2022}
-  }
+  }
+
+  @article{Oswalt1971,
+  title                               = {Towards the Construction of a Standard Lexicostatistic List},
+  author                              = {Oswalt, Robert L.},
+  journal                             = {Anthropological Linguistics},
+  volume                              = {13},
+  pages                               = {421--434},
+  year                                = {1971}
+}