P-10-26-20-1

James Joyce
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 Joyce - 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 0â 0â 0â 0â 0â 0â 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 10 10 10 10 100 10000 106 11 11 11 11 11 12 12 12 13 13 13 13 14 14 14 14 14a 15 15 15 159 16 16 16 16 16 16 16 16â 17 17 17 17 1763 18 18 18 18 18 1860 1880 1884 1885 1886 1886 1888 1888 1889 1891 1891 1892 1893 1893 1895 1898 19 1900 1903 1903 1903 1904 1904 1904 1904 1904 1914 1914 1921 19â 1â 1â 1â 1d 1st 1st 1st 2 2 2 2 2 2 2 2 2 2 2 2 2 20 20 20 20 20 20 20 20 20 200 2001 2003 2009 2017 21 21 21 21 210 22 22 23 23 23 23 23 23 25 26 26 266 27 279 28 2814 2817 29 29 2â 2d 2d 2d 2nd 3 3 3 3 3 3 3 3 3 3.33 30 30 30 30 30 300 32 34 34 35 36 4 4 4 4 4 4 4 4 4 4 40 42 4217 4217 430 4300 46 46 462 47 47 48 49 4â 5 5 5 5 5 5 5 5 5 5 5 50 500 5000 54 55945 57c 6 6 6 6 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 10 10 10 10 106 10th 10th 11 11 11 11 11 11 13 14 14 14 14 14 14a 15 15 15 15 15 15 15 15 15 15th 16 16 16 17 17 1763 18 18 18 1860 18th 19 19 1903 1904 1904 1d 1d 1st 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2.59 20 20 20 20 20,000 200 2009 2017 21 210 22 22 23 23 23 2400 250 26 26 26 27 27th 2814 2817 29 29 2d 2d 2d 2nd 2nd 2nd 2nd 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3.15 30 30 30 31 34 35 37 3rd 4 4 4 4 4 4 4 4 40 40 42 4217 4300 49 4th 5 5 5 5 5 5 5 5 5 5 5 5 5000 52 54 5427 55945 6 6 6 6 6 6 6 6 6 6_th 62 7 7 7 7 70 7th 8 8 8 8.29 80 81,396 82 85 88 8th 9 9 9 9 90 91 6 6 6 6 6 6 6 6_th 65 65 7 7 7 7 7 77 78 79 7â 7s 8 8 8 8 8 8 8 8 8 8 8.29 82 83,300 88 88 89 8s 9 9 9 9 9 90 92 96 969