This is a Distant Reader "study carrel", a set of structured data intended to help the student, researcher, or scholar use & understand a corpus.
This study carrel was created on 2021-04-05 by Eric Morgan <emorgan@nd.edu>. The carrel was created using the Distant Reader zip2carrel process, and the input was a Zip file locally cached with the name input-file.zip. Documents in the Zip file have been saved in a cache, and each of them have been transformed & saved as a set of plain text files. All of the analysis -- "reading" -- has been done against these plain text files. For example, a short narrative report has been created. This Web page is a more verbose version of that report.
All study carrels are self-contained -- no Internet connection is necessary to use them. Download this carrel for offline reading. The carrel is made up of many subdirectories and data files. The manifest describes each one in greater detail.
There are 40 item(s) in this carrel, and this carrel is 1,219,260 words long. Each item in your study carrel is, on average, 30,481 words long. If you dig deeper, then you might want to save yourself some time by reading a shorter item. On the other hand, if your desire is for more detail, then you might consider reading a longer item. The following charts illustrate the overall size of the carrel.
On a scale from 0 to 100, where 0 is very difficult and 100 is very easy, the documents have an average readability score of 67. Consequently, if you want to read something more simplistic, then consider a document with a higher score. If you want something more specialized, then consider something with a lower score. The following charts illustrate the overall readability of the carrel.
By merely counting & tabulating the frequency of individual words or phrases, you can begin to get an understanding of the carrel's "aboutness". Excluding "stop words", some of the more frequent words include:
music, one, new, work, jazz, time, learning, also, research, musicians, students, career, first, two, musical, al, et, classes, like, will, use, class, shot, within, study, chapter, guitar, well, performance, however, education, beat, different, university, see, industry, used, musician, way, york, many, skills, figure, analysis, employment, model, school, based, zero, years
Using the three most frequent words, the three files containing all of those words the most are My Life as a Musician: Designing a Vocational Preparation Strand to Create Industry-Prepared Musicians, "I write what I hear" : subtitle genre in selected songs by Jane Siberry, and Beyond band : perspectives on the high school jam session.
The most frequent two-word phrases (bigrams) include:
et al, new york, shot learning, nanako sato, di prima, music industry, university press, music education, novel classes, york city, unseen classes, popular music, image classification, personal computing, women beats, united states, tertiary music, machine learning, semantic segmentation, vocational preparation, generalized zero, jam session, art music, higher education, beat community, class embeddings, see table, jazz education, music employment, shot image, oxford university, survey participants, akata et, portfolio career, beat writers, case study, de la, learning setting, video classification, music career, computer music, jazz musicians, female subjectivity, established musician, folk revival, notes re, shot video, class embedding, high school, seen classes
And the three file that use all of the three most frequent phrases are Learning from limited labeled data - Zero-Shot and Few-Shot Learning The Girl Gang: Women Writers of the New York City Beat Community, and "I write what I hear" : subtitle genre in selected songs by Jane Siberry.
While often deemed superficial or sophomoric, rudimentary frequencies and their associated "word clouds" can be quite insightful:
Sets of keywords -- statistically significant words -- can be enumerated by comparing the relative frequency of words with the number of times the words appear in an entire corpus. Some of the most statistically significant keywords in the carrel include:
music, university, new, jazz, york, press, instrument, chapter, guitar, work, student, storms, states, research, pmc, note, musée, musique, musician, learning, king, john, figure, education, data, computer, city, chord, appendix, analysis, american, zhang, zero, zambia, young, year, write, woman, wjies, web, walser, violin, valle, usa, url, united, unip, tuning, tolmie, tmehc
And now word clouds really begin to shine:
Topic modeling is another popular approach to connoting the aboutness of a corpus. If the study carrel could be summed up in a single word, then that word might be music, and My Life as a Musician: Designing a Vocational Preparation Strand to Create Industry-Prepared Musicians is most about that word.
If the study carrel could be summed up in three words ("topics") then those words and their significantly associated titles include:
If the study carrel could be summed up in five topics, and each topic were each denoted with three words, then those topics and their most significantly associated files would be:
Moreover, the totality of the study carrel's aboutness, can be visualized with the following pie chart:
Through an analysis of your study carrel's parts-of-speech, you are able to answer question beyonds aboutness. For example, a list of the most frequent nouns helps you answer what questions; "What is discussed in this collection?":
œ, i, o, t, r, l, music, h, c, e, a, p, d, n, v, Œ, w, g, s, time, jazz, work, students, musicians, career, classes, m, p., %, research, b, class, learning, performance, shot, chapter, study, industry, guitar, way, œn, y, years, skills, musician, employment, model, education, u, œb
An enumeration of the verbs helps you learn what actions take place in a text or what the things in the text do. Very frequently, the most common lemmatized verbs are "be", "have", and "do"; the more interesting verbs usually occur further down the list of frequencies:
is, was, be, are, have, were, has, do, had, been, see, used, did, based, does, being, using, ’s, know, make, think, found, made, ''s, learning, come, am, get, use, play, following, played, considered, given, say, need, want, take, go, cited, seen, t, playing, learn, doing, required, working, find, set, including
An extraction of proper nouns helps you determine the names of people and places in your study carrel.
e, t, s, h, n, r, o, u, m, d, i, œ, f, w, y, c, a, l, ‰, g, b, œj, ˙, p, ¿, al, k, Œ, music, ., new, j, v, york, kay, university, isbn, siberry, et, press, œœ, beat, bb, ™, Ó, j., x, nanako, sato, johnson
An analysis of personal pronouns enables you to answer at least two questions: 1) "What, if any, is the overall gender of my study carrel?", and 2) "To what degree are the texts in my study carrel self-centered versus inclusive?"
i, it, their, we, my, her, they, you, his, he, she, its, our, me, them, your, itself, us, him, themselves, one, herself, myself, himself, yourself, ’s, oneself, ours, ourselves, ''s, mp, mine, œb, λ, yours, s, fp, α, ¥, em, e, ’em, œœ, ya, thy, theirs, in-, hers, fea-, di
Below are words cloud of your study carrel's proper & personal pronouns.
Learning about a corpus's adjectives and adverbs helps you answer how questions: "How are things described and how are things done?" An analysis of adjectives and adverbs also points to a corpus's overall sentiment. "In general, is my study carrel positive or negative?"
other, such, musical, -, first, different, more, new, many, few, same, own, personal, non, important, good, second, female, early, particular, social, major, cultural, professional, harmonic, most, literary, large, various, possible, high, current, similar, popular, specific, several, semantic, melodic, american, open, classical, original, real, able, available, œœœœ, higher, general, novel, full
not, also, more, so, only, however, as, well, then, very, out, up, even, rather, just, here, most, n’t, often, thus, n''t, now, really, still, e.g., therefore, further, always, first, too, much, perhaps, particularly, back, instead, down, far, never, less, indeed, together, there, again, actually, almost, quite, on, all, especially, yet
There is much more to a study carrel than the things outlined above. Use this page's menubar to navigate and explore in more detail. There you will find additional features & functions including: ngrams, parts-of-speech, grammars, named entities, topic modeling, a simple search interface, etc.
Again, study carrels are self-contained. Download this carrel for offline viewing and use.
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