Distant Reader - amish-from-scholar

Introduction

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.

Size

There are 907 item(s) in this carrel, and this carrel is 3,899,768 words long. Each item in your study carrel is, on average, 4,299 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.

Readability

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 64. 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.

Word Frequencies

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:

al, et, amish, http, study, org, doi, analysis, patients, may, www, also, one, using, data, research, diabetes, type, gene, genetic, age, associated, rs, studies, disease, two, de, university, com, association, human, https, children, cell, cells, health, population, used, high, table, risk, results, clinical, levels, individuals, based, first, journal, figure, family

Using the three most frequent words, the three files containing all of those words the most are Evaluation and Management of Right-Sided Heart Failure: A Scientific Statement From the American Heart Association, Drivers of decoupling and recoupling of crop and livestock systems at farm and territorial scales, and COST-EFFECTIVENESS OF PULSE OXIMETRY SCREENING FOR CRITICAL CONGENITAL HEART DEFECTS IN ONTARIO.

The most frequent two-word phrases (bigrams) include:

et al, type diabetes, old order, research feed, save alert, alert research, order amish, dopt abstract, gov pubmed, blood pressure, gov entrez, entrez query, db pubmed, cmd retrieve, retrieve db, list uids, new york, abstract list, pubmed dopt, sbref http, united states, uids http, hum genet, risk factors, pubmed http, mg dl, org core, corehtml pmc, public health, wide association, university press, bipolar disorder, amish community, nat genet, linkage analysis, diabetes mellitus, sref http, health care, med genet, background save, gene expression, human genetics, core terms, insulin resistance, medical center, crossref pubmed, right ventricular, dna methylation, diabetes care, american journal

And the three file that use all of the three most frequent phrases are Mapping of Adaptive Traits Enabled by a High-Density Linkage Map for Lake Trout Drivers of decoupling and recoupling of crop and livestock systems at farm and territorial scales, and Update on the Genetics of Congenital Myopathies.

While often deemed superficial or sophomoric, rudimentary frequencies and their associated "word clouds" can be quite insightful:

Keywords

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:

pmc, amish, feed, university, snp, genet, health, cell, patient, medicine, figure, usa, ooa, lod, dna, research, fig, diabetes, creveld, study, med, journal, ellis, child, bmi, view, table, u.s., science, physiol, genetics, genetic, population, mitochondrial, disorder, allergy, press, mutation, mennonite, ldl, heart, gene, department, chh, cancer, cac, blood, biology, american, wisconsin

And now word clouds really begin to shine:

Topic Modeling

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 10, and Quantitative trait locus linkage analysis in a large Amish pedigree identifies novel candidate loci for erythrocyte traits 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:

al, et, 10 - New loci associated with kidney function and chronic kidney disease
10, al, et - A Survey on Application of Non-Orthogonal Multiple Access to Different Wireless Networks
amish, research, journal - Conflict Resolution among Peaceful Societies: The Culture of Peacefulness
10, doi, patients - Evaluation and Management of Right-Sided Heart Failure: A Scientific Statement From the American Heart Association
http, www, gov - Dogmática jurídica e controvérsias religiosas à luz de Robert Cover: a recusa de transfusão sanguínea por parte das Testemunhas de Jeová

Moreover, the totality of the study carrel's aboutness, can be visualized with the following pie chart:

Noun & Verbs

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?":

%, p, study, o, t, patients, a, c, analysis, data, g, diabetes, gene, studies, age, n, r, e, type, disease, cells, d, risk, children, population, levels, individuals, i, l, table, results, time, years, cell, association, number, h, family, group, model, genes, linkage, b, blood, protein, evidence, control, effect, use, subjects

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, were, are, be, have, has, using, been, associated, used, had, based, found, reported, shown, identified, increased, do, compared, including, �, related, see, observed, performed, did, described, showed, following, published, included, given, known, does, obtained, being, include, am, provide, provided, affected, considered, measured, induced, defined, made, identify, received, suggest

Proper Nouns

An extraction of proper nouns helps you determine the names of people and places in your study carrel.

al, e, �, m, et, j, s, c, d, n, t, a, j., p, r, university, g, h, amish, b, m., u, o, research, l, s., y, f, de, r., k, genet, medicine, ., d., c., a., w, journal, med, health, p., i, l., e., usa, am, snp, study, g.

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?"

we, it, their, our, i, they, its, he, his, her, you, them, she, us, your, my, em, one, him, itself, themselves, me, himself, hg, herself, de-, s, ourselves, oneself, na, myself, mine, http://creativecommons.org/licenses/by/2.0, hmtppt, http://cebp.aacrjournals.org/, yourself, ours, u, p, ia, i-, , yours, ile53ser, thy, theirs, kb, ifih1, ex-, ein

Below are words cloud of your study carrel's proper & personal pronouns.

Adjectives & Verbs

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?"

amish, other, genetic, -, high, such, human, clinical, specific, significant, available, first, low, different, non, more, large, common, new, same, many, normal, higher, similar, single, wide, early, lower, small, important, several, total, present, religious, multiple, additional, possible, environmental, positive, major, social, old, likely, most, primary, true, severe, further, second, general

not, also, only, more, however, well, as, most, then, thus, previously, significantly, even, respectively, therefore, very, out, so, up, first, often, rather, highly, here, e.g., further, less, recently, relatively, now, at, still, above, particularly, approximately, furthermore, especially, directly, much, otherwise, least, together, finally, generally, later, currently, just, strongly, yet, indeed

Next steps

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.

Thank you for using the Distant Reader.