If we are asked to write a
credible research paper regarding medical advances toward curing AIDS or
newly-discovered computer programming methods, why is it that searching and citing
Wikipedia would be strongly frowned upon? It contains a sufficient amount of
accurate information—at
least in my experiences—does
it not? What it does not have, however, is research-based, peer-reviewed information.
In order to determine the distinctions (which may be slightly more difficult to
pick out than one might assume) between a peer-reviewed, scholarly publication
and a nonacademic text, a SCIgen research paper—a computer-generated research paper regarding
computer science that flows grammatically, but actually makes very little sense
after a thorough read through—is
placed side-by-side with a peer-reviewed, academic publication entitled “Quantum
Cybernetics and Complex Quantum Systems Science: A Quantum Connectionist
Exploration.”
Due to my complete and
utter lack of understanding of either publication, the main focus centers
around surface rhetorical features and conventions rather than an in-depth
analysis of computer science methodologies, whereupon I sincerely apologize for
any disappointment. But without further ado, each article begins with a large,
bold title at the top of the page; however, the academic publication title is
printed in red and is also preceded by publication information, including the
original source, publication date, and volume, issue, and page numbers. The
names of the authors are printed just below the titles in fonts smaller than
the titles are written in, bold and black in both cases. Just below the
authors’ names in both articles is an abstract, detailing the focuses and
purposes of the articles; however, the abstract in the scholarly academic
publication is more than twice as long as each of the ones generated by the
SCIgen program. Where the generated paper’s abstract is followed by a table of
contents, the scholarly academic publication’s abstract is followed by a list
of key words, a digital object identifier (DOI) number, and repeated
publication information.
The two fall back in
stride with boldly marked and numbered introductions (both marked by the number,
one). The generated paper then proceeds in a much more general sequence than
the other, using generic headings, such as, “Related Works,” “Architecture,”
“Evaluation,” and “Conclusion.” The scholarly publication is much more explicit
in regards to its headings, such as “Quantum Artificial Neural Networks as
Autonomous Quantum Computing Systems.” In each case, all of the section
headings are numbered and followed by paragraphs that refer back to that
heading. Both publications contain either tables, graphs, or equations, or a
mixture of the three. The generated publications, however, contain only five or
six of these, whereas the scholarly publication is littered with equations and
contains two tables. While specific language regarding computer science is used
consistently in both publications, the SCIgen paper is more or less gibberish, and
therefore, illegitimate. Both close with a lengthy list of references, citing
the sources used to write the papers.
The most readily visible
discrepancies between the two publications are the non-textual structure and
detail that compose each. The scholarly publication is marked by color and even
some shading with the purpose of color-coding rows of information for clarity;
it is also separated into two columns of text. The SCIgen publication, on the
other hand, is written in only black ink and is not organized into columns.
Although these differences are important to note, they are not necessarily the
defining factors of a scholarly publication versus a nonacademic text.
Despite all of the
similarities between the two publications, there must be something (besides the
fact that it is clearly marked as peer-reviewed) that creates the distinction
between the scholarly text and the nonacademic piece. The most prominent
differences are the amount of proof that the texts use to support their assertions
and the intended audiences and purposes of each. Although I do not claim to
actually possess an understanding of either article, it is quite clear that nearly
every section of the scholarly text is sprinkled heavily with supporting
mathematic concepts and equations. The SCIgen article does use a few graphs and
diagrams to back up its “claims,” but with just more than a glance, it is
obvious that these “claims” and graphs are nonsense. Because the SCIgen
articles are only produced for the sake of amusement and entertainment, their
intended audiences are much more extensive because no one can actually make sense of what is written in those papers. Quite
contrarily, the scholarly research paper is geared toward a very narrow range
of audiences with the intent to inform its readers about a very specific subject
regarding “Quantum Cybernetics and Complex Quantum Systems Science” (I apologize
for my ineptitude to find a better way to state it). Regardless, the objectives
of the two differing texts are quite apparent, even without conducting an
exhaustive analysis of the computer-science-jargon-flooded text.
Even though you admit that you did not understand the sources, you still managed to compare and contrast them quite well. Maybe it was better this way because I think it's safe to say not everyone is an expert on Quantum Sciences, so you're on the same page with an ordinary, common reader. I like that you pointed out that both titles sound legitimate but with closer look the SCIgen heading is indeed nothing but nonsense. As long as it fits the criteria of scholarly, it passes through until you read further into it. The Quantum paper seems to be credible inside and out, whereas the generated cannot be used for any real textual evidence. But any other research paper (not from the SCIgen) could definitely be used as a reliable source, as its intended purpose. If the generated paper wasn't a bunch of gibberish I think that the two sources would have a lot more in common as well. Just generally speaking. But it's not always easy for the SCIgen paper to have much in common except for how it appears on the outside. But the fact that you didn't have knowledge on either probably worked to your benefit when analyzing the two sources.
ReplyDeleteThis is really fun to read. I can totally see your voice throughout it all and the playful tone takes these two very abstract articles and translate them into everyday things just by looking at the conventions. I enjoyed all the personal anecdotes that you included too. The papers are very similar so it would have been once to see some differences that occurred, like length of either the entire paper of just different sections to show that the scholar piece was reliable. But otherwise good job and I enjoyed reading!
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