Campanella
Collection
Cautionaries are simply edits to the original content for the purposes of improving the usability and clarity of the informatic design. Edits should focus on identifying the framework of the original content in its entirety, including redundant messages of cultural or legal significance. The following edits were made to the content to improve the framework:
- Words were stemmed.
- Stop Words were used.
- The Stop Word List: 'a', 'about', 'above', 'above', 'across', 'after', 'afterwards', 'again', 'against', 'all', 'almost', 'alone', 'along', 'already', 'also','although','always','am','among', 'amongst', 'amoungst', 'amount', 'an', 'and', 'another', 'any','anyhow','anyone','anything','anyway', 'anywhere', 'are', 'around', 'as', 'at', 'back','be','became', 'because','become','becomes', 'becoming', 'been', 'before', 'beforehand', 'behind', 'being', 'below', 'beside', 'besides', 'between', 'beyond', 'bill', 'both', 'bottom','but', 'by', 'call', 'can', 'cannot', 'cant', 'co', 'con', 'could', 'couldnt', 'cry', 'de', 'describe', 'detail', 'do', 'done', 'down', 'due', 'during', 'each', 'eg', 'eight', 'either', 'eleven','else', 'elsewhere', 'empty', 'enough', 'etc', 'even', 'ever', 'every', 'everyone', 'everything', 'everywhere', 'except', 'few', 'fifteen', 'fify', 'fill', 'find', 'fire', 'first', 'five', 'for', 'former', 'formerly', 'forty', 'found', 'four', 'from', 'front', 'full', 'further', 'get', 'give', 'go', 'had', 'has', 'hasnt', 'have', 'he', 'hence', 'her', 'here', 'hereafter', 'hereby', 'herein', 'hereupon', 'hers', 'herself', 'him', 'himself', 'his', 'how', 'however', 'hundred', 'ie', 'if', 'in', 'inc', 'indeed', 'interest', 'into', 'is', 'it', 'its', 'itself', 'keep', 'last', 'latter', 'latterly', 'least', 'less', 'ltd', 'made', 'many', 'may', 'me', 'meanwhile', 'might', 'mill', 'mine', 'more', 'moreover', 'most', 'mostly', 'move', 'much', 'must', 'my', 'myself', 'name', 'namely', 'neither', 'never', 'nevertheless', 'next', 'nine', 'no', 'nobody', 'none', 'noone', 'nor', 'not', 'nothing', 'now', 'nowhere', 'of', 'off', 'often', 'on', 'once', 'one', 'only', 'onto', 'or', 'other', 'others', 'otherwise', 'our', 'ours', 'ourselves', 'out', 'over', 'own','part', 'per', 'perhaps', 'please', 'put', 'rather', 're', 'same', 'see', 'seem', 'seemed', 'seeming', 'seems', 'serious', 'several', 'she', 'should', 'show', 'side', 'since', 'sincere', 'six', 'sixty', 'so', 'some', 'somehow', 'someone', 'something', 'sometime', 'sometimes', 'somewhere', 'still', 'such', 'system', 'take', 'ten', 'than', 'that', 'the', 'their', 'them', 'themselves', 'then', 'thence', 'there', 'thereafter', 'thereby', 'therefore', 'therein', 'thereupon', 'these', 'they', 'thick', 'thin', 'third', 'this', 'those', 'though', 'three', 'through', 'throughout', 'thru', 'thus', 'to', 'together', 'too', 'top', 'toward', 'towards', 'twelve', 'twenty', 'two', 'un', 'under', 'until', 'up', 'upon', 'us', 'very', 'via', 'was', 'we', 'well', 'were', 'what', 'whatever', 'when', 'whence', 'whenever', 'where', 'whereafter', 'whereas', 'whereby', 'wherein', 'whereupon', 'wherever', 'whether', 'which', 'while', 'whither', 'who', 'whoever', 'whole', 'whom', 'whose', 'why', 'will', 'with', 'within', 'without', 'would', 'yet', 'you', 'your', 'yours', 'yourself', 'yourselves', 'the'.
- The Reasoning Behind the Selection - These words are of high frequency, non-unique generality. They are simply removed to clarify the content, of a more unique terminology, during the analytic stage of modeling. There are other words that could be included or excluded, as the method of removal isn’t intended to be exact. However, the terms should be non-unique, of high frequency, and fully disclosed to users of the informatic model. That is, these terms after the analytic stage are returned to the informatic model in developing the networks, layering, directionality, and detailing of the model.
Specific Cautionaries
The following cautionaries are more specific to the Campanella - Collection:
- There were a large variety of numbers and number-letter combinations that marked news sections. All numbers, letter-number combinations not constituting words or abbreviations were removed after the analytic modeling stage. Some low-frequency of numbers meshing with words were removed as well. All combinations were removed to improve the usability and clarity of the content being modeled informatically.
- No words were removed, other than what is listed on the Stop Word list. These words were removed only for the framing and analytic stages. Words are returned during the network, layering, and detailing stages of modeling.
- Errors involving the content, such as conversion errors of words are not edited and will remain transparent to viewers of the model. The focus is on developing trust through process and procedure, not through avenues easily manipulated, such as finely-threaded performances of perfection and cosmetic appeal. Exceptions will be listed in the "specific edits" section.
- Split words that are merged back together, if any, will be listed in specific edits.
- The userability standard is used moderately. That is, terms like "ebook", or proper nouns, such as publisher names, or any other term reflective of the overall publication, will likely be included into the modeling process. The models are designed to account for terms that work in different contexts, such as publication terms, that will be presented alongside the design of the actual written work, with the ideas of the given author intact.
- This methodology is designed to manage the unstructured informational environment, of a sound and consistent overall design, that manifests from categorical arrangements that are inconsistent and imperfect, like that of a hair style. Even though terms, these individual hairs, will change, the overall styling, the informatic model, will remain the same. In this way, the unstructured informational environment differs from the structured informational environment.
- Campanella - Collection will include Italian and English terminology. Though the Italian could be removed for userability, a more accurate reflection of the publication would be diminished, so again, as an informatic modeler, I must strike a balance between these two trade-offs. In keeping with a balance, I have selected to keep the Italian terminology, which isn't right or wrong, but there to reflect the publication. Note how the model organizes the English and Italian terminology as well. This organization of various languages is an important aspect, in how the informatic model can neatly organize different sets of categories within one model.
Specific Edits
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1,000
1.12
1.185
1.2.5.2
1.2.5.2
1.321
1.4.1095
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9.5023
9.7
9.73
9.81
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98
98
98
98
99
99
0
0
0
0
0
0
001
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1,000
1.1.4.1
1.1.8.1
1.185
1.3
1.321
1.4.1095
1.8
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10.27
10.36
100
100
100
100
101
101
1011
102
103
104
105
105
105
106
107
108
109
109
11
11
11
11
11
11
11
11
11
11
11
11
11.10305
110
110
111
111
111
111
112
112
112
112
113
113
113
114
11415
116
116
117
117
118
11819
11819
119
12
12
12
12
12
12
12
12
12
12
12
120
120
121
123
124
124
125
126
126
126
12627
12627
12627
128
129
13
13
13
13
13
13
13.24
130
1317
1317
1317
131718
131718
1318
1318
1319
1319
1319
1319
1319
1320
1320
1320
1320
1320
1320
1321
1321
1321
1322
1322
1322
1322
1322
1323
1323
1323
1325
1326
1326
1327
1327
1329
1329
1329
1329
133
133
1331
1332
1333
1333
1333
1333
1333
1334
1334
1334
1334
1334
1334
1334
13342
1335
1335
1336
1336
1336
1336
1336
1338
134
134
1341
1341
135
135
136
136
136
136
136
136
137
137
137
137
138
138
138
138
138
139
139
139
139
139
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
14
140
140
140
140
141
141
141
141
141
141
142
142
143
144
144
144
144
145
145
145
1450a
146
146
146
147
147
148
15
15
15
15
15
15
150
150
151
1515
152
152
153
153288
154
156
15681639
15774
158
159
159
1594
1596
1598
1599
1599
16
16
16
16
16
16
16
160
160
1600
1603
1603
1605
1605
1606
1606
1607
1607
1608
1608
161
161
161
161
1616
1617
162
162
1623
163
1636
1638
165
165060
1654
167
168
168
169
169
17
17
17
17
17.1035
170
171
171
173
173
174
174175
175
177
178
179
18
18
18
18
18
18.1214
180
181
182
182
183
183
183
183
183
184
184
184
184
185
185
185
185
187
187
187071
188
1880s
189
189
189
19
19
19
19
19
190
190
190
190
191
191
191
191
19192
1920
1920
1923
193
193
193
194
194
194
1941
195
195
1954
1957
1957
196
196
1962
1964
1967
1967
197
1976
1977
1979
198
198
198
1980
1981
1986
1989
199
1991
1994
1996
1997
1998
1999
1999
1999
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2.26
2.4.16.1
2.46
2.6.10
2.6.11.1
2.6.5ff
2.8
2.8
2.9.6.1
20
20
20
20
200
200
200
200
200
2001
2001
2002
2002
2003
2003
2004
2005
2007
2008
201
2010
2010
2011
202
202
2023
203
203
203
20317
205
205
206
206
208
209
21
21
21
21
21
21
210
210
210
21011
212
212
212
212
212
213
213
213
213
213
214
214
214
214
214
216
216
216
216
216
217
217
219
22
22
22.127
22.77
220
221
222
222
223
223
223
223
223
224
224
22426
225
226
227
228
229
229
22b
23
23
23
23
23
23
23
23
23
23
23.4.14
231
231
232
233
236
236
237
238
239
23n2
23n3
24
24
24
24
24
24
24
241
242
242
243
243
244
244
245
245
245
246
247
247
248
249
249
25
25
25
25
25
25
25
25
25
25
25
25
25
251
252
254
255
255
256
256
257
257
259
259
259
26
26
26
26
26
26
26
260
262
263
263
264
264
264
264
264
265
265
26580
266
266
266
2668
267
267
267
269
27
27
27
27
27
27
27077
271
271
271
275
28
28
28
28.136
28.63
286
29
29
29
29
29
29.70
291
293
294
294
295
295
296
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3.1.2324
3.11.17.3
3.16.7.1
3.35
3.5
3.56
30
30
30
30
31
31
31
31
31
31
31
318
32
32
32.15
33
33
33
331278
332
332
34
34
35
35
35
35
3555
36
36
37
37
37
38
38
39
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
40
40
40
40
40
403
40518
41
41
4146
4172
42
42
4243
43
43
43
44
44
45
45
45
45
45
46
46
46
46
48
48
49
49
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5.9
50
52071
53
54
55
55
55
57
57
57
57
58
596
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6.15.2
6.16.1
6.7
6.9.3
60
60
60
60
61
61
62
62
62
62.12
63
63
65
65
65
65
66
66
67
67
67
68
68
69
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
70
70
7071
71
71
71
71.12
72
72
73
73
74
75
75
75
75
75
76
76
76.6
77
77
7778
78
79
79
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8.12
8.6
8.70
80
80
80
80
80
80
80
80
81
82
83
83
83
84
84
84
87
88
8893
89
89
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9.17.3
9.5023
9.7
90
92
92
93
93
94
95
96
97
97
99
99
abba, cdc, dcd
philo sophia = split
chapter
