P-10-25-20-7

D.H. Lawrence
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 Lawrence - 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 hairstyle.  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.  
  • To improve the readability of models non-alphanumeric symbols are likely to be removed.

Specific Edits

0 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_ 10 10 10.40 10.5 10_ 100 103 1080 10s 10s 10s 11 11 11 11 11 11.30 11_ 113 117 12 12_ 125 12s 135 14 15 15 15_ 150 16 16mo 16s 17 17_ 179 17th 18 18_ 1827 1848 187 19 19_ 190 1913 1913 1913 1914 1915 1916 1918 1918 1919 1919 1920 1921 197 199 1s 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2.30 200 200 2001 2003 2007 2009 201 2017 2018 20654 21_ 217 21s 22_ 22475 22477 22480 22531 22726 22734 23 23_ 23394 23394 23394 2372 23727 25_ 26_ 27 27_ 29_ 2â 2s 2s 2s 2s 2s 2s 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3_ 30 30 30_ 30s 30th 31_ 350 359 38561 3s 3s 4 4 4 4 4 4 4 4 4 4 4_ 40 40 40,000 400 41 4216 4240 4240 4240 45 4520 46740 49 4d 5 5 5 5 5 5 5 5 5 5 5 5 5_ 51 0 0 097 1 1 1 1 1 1 1 1 1 10 10.40 10.5 10_ 100 103 11 11.30 113 117 12 12_ 13 130 14 15 150 16s 176 179 17th 18_ 18th 190 1914 1915 1921 197 199 2 2 2 2 2 2 2 2 2 2,500 2,700 2.30 20 200 2000 2003 2007 2009 2017 2018 20654 21 217 21s 22_ 22475 22477 22480 225 22531 22726 22734 23394 23394 23727 25_ 250 26 26_ 29_ 2s 3 3 3 30 30 30 30_ 300 30s 350 359 38561 4 4 4 4,000 40 40 40,000 400 42 4216 4240 4240 4520 46740 48 48 4d 5 5 50 51 54058 58 583 59 5d 5s 5s 5s 6 6 6 6.00 6_ 60 60 600 6000 65 6d 6d 6d 6d 6d 6d 6s 6s 6s 6s 6s 6s 6s 6s 6s 6s 6s 6s 6s 6s 6s 6s 6s 6s 6s 6s 6s 6s 7 7 7.15 7_ 8 8 8 8 8.30 800 83 84 89 8914 8vo 8vo 8vo 8vo 9 90 93 9497 9498 9s 9s 54058 54058 5d 5s 5s 5s 5s 5s 5s 6 6 6 6 6 6 6 6.00 6_ 60 600 6000 65 6â 6d 6d 6d 6d 6d 6d 6d 6d 6s 6s 6s 6s 6s 7 7 7 7 7 7 7 7 7_ 7s 7s 7s 7s 7s 7s 7s 7th 8 8 8 8 8 8 8 8 8 8 8.30 8_ 82 83 89 8914 8vo 8vo 8vo 8vo 8vo 8vo 8vo 8vo 8vo 9 9 9 9 9 9_ 93 9497 9498 9s 9s