P-1-3-20-3

Emile Zola
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:
  1. Words were stemmed.
  2. 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. 
  • Implications of Selection - The methodology generalizes the unstructured information, so regardless of the nuanced changes of a stop word list; which may or may not include some unique terms, or may or may not meet a particular standard asserted as ideal; the given methodology returns these words to the corpus for the informatic modelling, and the generalized form of significant associations are consistently accounted for, even if some words of significant association were treated as stop words initially.  That is, there isn't a perfect stop word list, and lists will vary, but the informatic methodology manages these variations for a consistent outcome, so long as most non-unique terminology is removed.  
Specific Cautionaries

The following cautionaries are more specific to the Zola - 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 largely the same, of a consistent arrangement of major nodes.  In this way, the unstructured informational environment differs from the structured informational environment.  

Specific Edits

0 0 0 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 1,500 10 10 10 10 100 101 102 103 10330 10330 10330 10330 10330 104 105 106 106 106 1069 1069 1069 1069 1069 107 10720 10720 10720 10720 10720 108 109 11 11 11 11 11 11 11 110 110,000 111 112 113 114 115 116 117 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 118 12 12 12 120 122 124 125 126 128 129 13 13 130 131 133 135 136 137 13851 13851 13851 13851 13851 13851 13851 139 14 14 140 140 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 143 15 15 15900 15900 15900 15900 15900 16 16 16 16 17 17 17 18 18 1820 1830 1846 1848 1848 1848 1849 1851 1851 1851 1854 1856 1858 1867 1870 1896 1897 1898 1898 1899 19 19 19 19 1900 1907 1st 1st 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2,100 2,500 20 20 20 20 20 20 20 20 20 20,000 200,000 201 2019 2019 202 2020 21 21 21 217 22 22 23 23 23 23222 23222 23222 24 24 24 24 24 25 25 25 25 26 26 27 27 27 28 28 28 29 29 29 2d 3 3 3 3 3 3 3 3 3 3,000 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 31 31 32 32 32 32 32 32 32 32 32 32 32 32 32 32 32 32 32 32 32 32 32 33 33 34 34 35 36 36 37 37 38 38 39 39 39 4 4 4 4 4 4 40 40 40,000 403 41 41 41 42 42 42 43 43 43 43 43 43 43 43 43 43 43 43 43 43 43 43 43 43 43 43 43 43 43 43 43 43 43 43 43 43 43 43 43 43 43 43 43 43 44 44 45 45 45 45 45 45 45 45 45 45 45 45 45 45 45 45 45 45 45 45 45 45 45 45 45 45 45 45 45 45 45 45 45 45 45 45 46 46 46 47 47 48 48 48 49 49 4th 4th 4th 4th 5 5 5 5 5 5 5 5 5 50 50 51 51 51 51 51 51 51 51 51 51 51 51 51 51 51 51 51 51 51 51 51 51 51 51 51 51 51 51 51 51 51 51 51 51 51 51 5135 5135 5135 5135 52 52 52 52 53 53 54 54 54 55 55 55 55 55 55 55 55 55 55 55 55 55 55 55 55 55 55 55 55 55 55 55 55 55 55 55 55 55 55 55 55 55 55 55 55 55 55 55 56 56 56 56 5652 56528 56528 56528 56528 57 57 5744 5744 5744 5744 5744 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 59 59 6 6 6 6 6 6 6 6 6 6 60 60 60 60 600 61 61 62 62 63 63 64 64 65 65 66 66 6626 6626 6626 67 67 67 67 67 67 67 67 67 67 67 67 67 67 67 67 67 67 67 67 67 67 67 67 67 67 67 67 67 67 67 67 67 67 67 67 67 67 67 67 67 67 67 67 67 67 67 67 68 68 68 69 69 69 6th 0 0 0 0 00 00 019 019 020 1 1 1 1 1,000 1,200 1,200 1,400,000 1,500 1,553 1,800,000 10 100 1000 10330 10330 10330 10330 1069 1069 106th 106th 106th 106th 106th 106th 106th 106th 106th 106th 106th's 10720 10720 10720 110,000 115th 1225 1250 12th 12th 135 13851 13851 15 15,000 150 15900 15900 16 18 1810 1814 1815 1848 1848 1848 1848 1849 1849 1850 1851 1859 1863 1871 1893 1894 1896 1897 1898 1900 19th 1st 1st 1st 2 2 2,000 2,100 20 20,000 20,000 200 200 200,000 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 22d 23222 23222 23d 250 26th 28 28 2d 2d 2d 2d 2d 3 3 3 3,000 30 3000 32 32 36 37th 3d 3d 3d 4,000 40,000 40,000 40,000 40,000 40,000 400 4000 43d 45 4th 4th 4th 4th 5 5 5,000 500 51 5135 5135 528 56528 56528 56528 56528 56528 56528 56528 5744 5744 580,000 5900 5th 5th 5th 5th 5th 5th 6 600 600 600 600,000 615 6528 6626 6626 6626 69 6th 7 700 700 7th 7th 8 80,000 800,000,000 8516 8600 8600 8600 8600 8600 8726 8726 880 9 9 90 90,000 9169 9169 9499 9goire 9goires 9quillart 9sir 9tienne 9tienne 9tienne 9tienne 7 7 7 7 7 7 7 7 7 70 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 77 78 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 7th 8 8 8 8 8 8 80 81 83 84 85 8516 8516 8516 8516 86 860 8600 8600 8600 87 872 8726 8726 8726 8726 8726 8726 8726 8726 88 880 89 89 9 9 9 9 90 91 91 916 9169 9169 9169 9169 9169 92 93 93 94 9499 9499 95 96 97 98 99