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Dušan Knežević
Works at 3ort Inženjering
Attended University of Belgrade Faculty of Electrical Engineering
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Dušan Knežević

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Please be advised: I'm about to ruin a perfectly good joke by analyzing it.

The joke here is that it places judging people on the basis of spelling, etc., on a par with judging them based on their race, creed, color, or gender. It's a kind of ridiculous comparison, elevating the picayune to be on a par with the grandiose. And it's meant to be a slightly reassuring joke, because the people who are laughing at it do, in fact, often judge people by their use or misuse of language, and while it may feel a bit schoolmarmish at times, it's a profound act of belonging to do so, as well. It makes people happy. (As various XKCD's attest)

But what are we really doing, when we judge people based on their use of language?

One thing that's useful to think about is to realize that a single language (say, English) really consists of dozens, hundreds, even thousands of dialects. "Dialect" isn't a pejorative term; it refers to the use of language among a certain group, which may be different in its lexicon, syntax, phonetics, or any number of other features from other dialects. Dialects are mutually comprehensible – that's what makes them part of the same language – but they can be quite different.

If you're reading this, you probably are fluent in at least two dialects of English without realizing it. One is Modern Standard Written English (MSWE), which is what I'm writing in now; the other is Modern Standard English (MSE), its spoken analogue. You might not have realized that these are actually kind of different, but if you ever look at a verbatim transcription of ordinary speech, even extremely educated speech, you'll see that there are significant patterns of difference: for example, phrases are shorter and have fewer subordinate clauses in MSE. (That's actually true of all spoken dialects relative to all written dialects; it's easier to hold long phrases in mind when you're reading)

Very possibly, you speak other dialects as well, often without realizing that you're code-switching between them depending on whether you're at home or elsewhere. For example, one of the most widespread American dialects is African-American Vernacular English, or AAVE for short, sometimes known as "Ebonic." It's actually one of the most linguistically interesting dialects, because it has grammatical constructs that MSE doesn't have, like a much richer verb structure including habituals ("he be working Tuesdays" == MSE "he often works on Tuesdays") and several different past tenses.

But if someone were to write a post in AAVE – especially if they wrote it to match AAVE phonetics, instead of MSWE spelling and MSE phonetics – it would be the exact sort of thing that gets judged as being "bad English." What's going on here?

"Bad English" implies that there's "Good English," and this kind of linguistic prescription has a name: a prestige dialect. In the UK, the English of southern London became the prestige dialect as London became the increasingly powerful political center of the country during the Elizabethan period; other dialects, no less ancient and shortly before no less respected, came to be seen as the dialects of the masses, of people who didn't have regular ties to the seat of power. 

Unsurprisingly, written dialects tend to track prestige dialects closely, since writing has historically been a tool of the educated and powerful. This is sufficiently true that when we see any non-prestige dialect in written form, it looks shocking and odd at first: until very recently, especially with the advent of the Internet and mass writing (as opposed to mass literacy), we almost never saw it.

When we talk about how speaking "proper English" will get you further in life, what we mean is that by being able to speak and write in the prestige dialect, you can identify yourself as being part of that social group which can do that – that is, a group which regularly hears and speaks it, and regularly interacts with the powerful whose speech defines it. (Prestige speech is, almost by definition, the speech of the powerful) 

Another way to say it – one that's more shocking to American ears – is that speaking or writing in a prestige dialect is a performance of class. It's a way of demonstrating that you have membership in this grouping.

If someone can do this but doesn't, they're marked as acting "beneath themselves," failing to live up to a class standard. If someone can't do it at all, they're "uneducated" – which is to say, they haven't had the day-to-day opportunity and need to speak in the prestige dialect.

So to go back to the original joke, this is meant to be funny because judging people on the basis of "spelling, grammar, punctuation, and sentence structure" appears at first to be ludicrously harmless, a powerless method of judging people with friendly ribbing underneath. But if we pry it open a bit, what we're really talking about is judging people on their ability to perform membership in a social class. When it's aimed at people who are unambiguously within that social class, it may indeed have that nature of harmless ribbing; but when it isn't, when people say things like "you must be at least this smart to use the Internet," what it really is is saying "you must be part of this social class to belong here."

It's actually more sinister than it sounds.

If you'd like to read more about some of these subjects, some good places to start are:
https://en.wikipedia.org/wiki/Prestige_(sociolinguistics)
https://en.wikipedia.org/wiki/African_American_Vernacular_English

(I'll avoid giving a h/t for the image unless the earlier poster asks me to, since I'm quite certain that this poster had nothing nearly this sinister in mind, and that it was almost certainly aimed at people for whom this would not constitute "punching down." My apologies for turning an innocent post into a linguisto-political analysis.)
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Dušan Knežević

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Woohoo! 
Airbnb and FIBA want to give one lucky winner and a guest an unforgettable all expenses paid trip to EuroBasket! Sweepstakes ends on September 13, 2015 at 11:59pm
Check out the EuroBasket 2015 Airbnb section on www.eurobasket2015.org.
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Dušan Knežević

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This machine allows anyone to work for minimum wage for as long as they like. Turning the crank on the side releases one penny every 4.97 seconds, for a total of $7.25 per hour. This corresponds to minimum wage for a person in New York. This piece is brilliant on multiple levels, particularly as social commentary. Without a doubt, most people who started operating the machine for fun would quickly grow disheartened and stop when realizing just how little they’re earning by turning this mindless crank. A person would then conceivably realize that this is what nearly two million people in the United States do every day…at much harder jobs than turning a crank. This turns the piece into a simple, yet effective argument for raising the minimum wage.
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Dušan Knežević

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There is a lot of interest in this little tool i made, including the requests to update it with import exception details. As i do not have time right now to deal with this, i am providing you with the source code hosted on GitHub.
This way you can see what went wrong in the debugger and fix your input data. If you update the code with new features or fixes, please take time to push them back to the hub, or message me to do it if you have hard time dealing with the Git source control provider.
The article is updated with the link to the GitHub project.

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Dušan Knežević originally shared:
 
Hi guys. I'd like to share with you an utility that I've been frequently using while developing geospatial applications. It is used to import Esri shapefiles into Microsoft SQL Server while allowing you to customize the import process.

It has a pretty simple graphical user interface that allows you to easily adjust the code page of the input data. rename/remap column names of the destination table and set it's name and primary key.
Here's a little tool for you that I've been using quite often lately. It can be used used to import Esri shapefiles into Microsoft SQL Server (2008 and 2012) while taking into account character encoding of the input data. The geospatial information is stored as SqlGeometry.
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Najpametnija hranilica koja može da prepozna mačke po licu http://blic.rs/i/481938
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Najpametnija hranilica koja može da prepozna mačke po licu Izumitelji sa Tajvana su osmislili automatizovanu hranilicu za mačke zbog koje će vlasnici mačaka moći bez brige da ostave svoje ljubimce same kod kuće
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:D to bi trebalo napraviti za ljude.... a ne za macke :D
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Always remember to remove children before washing their clothes
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Education
  • University of Belgrade Faculty of Electrical Engineering
    Computer Science, 2003 - 2008
  • Gimnazija "Predrag Kostić" Negotin
    Prirodno - Matematički Smer, 1999 - 2003
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