Distant Reader - keyword-participant-cord

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 2021-05-25 by Eric Morgan <emorgan@nd.edu>. The carrel was created using the Distant Reader cord process, and the input was the result of a query applied to a local mirror of CORD, a data set of scholarly articles on the topic of COVID-19. The actual query was: keywords:participant. The results of this query were saved in a cache and transformed into 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 49 item(s) in this carrel, and this carrel is 156,411 words long. Each item in your study carrel is, on average, 5,586 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 50. 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:

participants, health, study, social, care, covid, i, research, one, participant, people, use, also, data, time, may, based, disease, older, group, self, will, reported, information, risk, patients, used, using, public, results, pandemic, technology, among, focus, however, many, support, related, analysis, adults, age, response, important, treatment, including, high, control, training, program, work

Using the three most frequent words, the three files containing all of those words the most are Participants’ Experiences of the 2018–2019 Government Shutdown and Subsequent Supplemental Nutrition Assistance Program (SNAP) Benefit Disruption Can Inform Future Policy, Factors affecting hospital response in biological disasters: A qualitative study, and Best Practices for Engaging Pregnant and Postpartum Women at Risk of Substance Use in Longitudinal Research Studies: a Qualitative Examination of Participant Preferences.

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

older adults, focus group, health care, social distancing, one participant, public health, participants reported, family members, social media, group participants, focus groups, united states, older people, mental health, infection control, i think, systematic review, participants described, data collection, cord uid, doc id, school psychology, healthcare workers, side effects, participants also, another participant, respiratory syndrome, chronic disease, many participants, peer support, pandemic influenza, controlled trial, social support, infection prevention, world health, research study, health organization, least one, design process, infectious diseases, research results, years old, coronavirus disease, informed consent, care plan, social isolation, psychiatric genetics, sample size, later life, participants indicated

And the three file that use all of the three most frequent phrases are Intergenerational Effects on the Impacts of Technology Use in Later Life: Insights from an International, Multi-Site Study Infection preventionists' experience during the first months of the 2009 novel H1N1 influenza A pandemic, and Robotic Pet Use Among Community-Dwelling Older Adults.

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:

participant, covid-19, old, study, school, patient, health, test, technology, social, risk, program, practice, people, pain, hospital, hiv, disease, disaster, caregiver, care, adult, workshop, veteran, vaccine, trial, tdcs, student, snap, sensor, self, sci, sars, rule, rpe, return, result, research, question, qaly, public, ptsd, pss, preference, ppe, posture, plwh, pet, peer, outcome

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 participants, and IVACS: Intelligent Voice Assistant for Coronavirus Disease (COVID-19) Self-Assessment 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:

participants, older, social - Connecting at Local Level: Exploring Opportunities for Future Design of Technology to Support Social Connections in Age-friendly Communities
participants, covid, research - Nasal Airway Obstruction Study (NAIROS): a phase III, open-label, mixed-methods, multicentre randomised controlled trial of septoplasty versus medical management of a septal deviation with nasal obstruction
participants, health, one - Factors affecting hospital response in biological disasters: A qualitative study
participants, participant, study - How short is too short? A randomised controlled trial evaluating short-term existential behavioural therapy for informal caregivers of palliative patients
participants, tdcs, people - Fatigue Monitoring in Running Using Flexible Textile Wearable Sensors

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?":

participants, study, health, care, people, research, participant, data, time, patients, self, group, information, risk, disease, results, use, technology, pandemic, adults, analysis, response, age, treatment, practices, others, hospital, training, students, program, intervention, support, groups, process, community, survey, design, level, school, findings, life, questions, focus, staff, number, studies, family, control, individuals, population

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:

using, include, report, provided, based, making, taking, identified, increased, related, describe, developed, needs, considered, get, found, received, follow, going, gives, ask, showed, indicate, feel, lived, participated, known, improved, thought, suggests, reduce, learning, helps, worked, perceived, supporting, conducting, associated, sharing, required, say, understand, seen, focused, experiences, compared, addressed, noted, ageing, testing

Proper Nouns

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

COVID-19, Health, HIV, H1N1, Table, IPC, SARS, United, States, •, UK, Fig, PTSD, PPE, _, Canada, Research, March, Disease, CIM, University, World, US, NC, HRP, February, Coronavirus, IVACS, sha, J, PSS, American, CDC, Social, Organization, National, WHO, January, Participant, CDT, USA, U.S., DOI, New, CoV-2, Jordan, Committee, SCI, NAIROS, Ebola

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?"

their, they, it, we, i, our, you, them, its, my, her, your, me, themselves, she, his, us, he, one, itself, yourself, myself, him, ourselves, herself, tdcs, oneself, himself, 'em, ya, theirs, sha, pseudonyms, mine, it's, genome/, broader, 's

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?"

social, older, many, public, important, high, clinical, local, different, medical, qualitative, new, first, current, potential, positive, available, physical, covid-19, personal, specific, significant, individual, general, future, higher, likely, common, able, low, ethical, additional, several, key, effective, chronic, online, negative, overall, mental, previous, human, severe, large, non, biological, professional, possible, genetic, long

also, however, n't, well, often, even, just, especially, particularly, therefore, prior, together, less, rather, now, potentially, significantly, least, highly, still, approximately, really, already, generally, better, previously, back, finally, currently, first, overall, frequently, alone, additionally, away, specifically, much, instead, typically, furthermore, moreover, sometimes, similarly, always, almost, commonly, yet, rapidly, initially, respectively

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.