Tag Archives: United States

A Layered Approach to a Common Ground Reading

I just posted another paper on the Social Science Research Network, it is an analysis of a multi-layered communication situation using Herbert Clark’s notion of the Common Ground.  Here is the abstract:

In a January 27, 2011 interview on the National Public Radio radio show Fresh Air (hosted by Terry Gross), guest Robert Spitzer made this comment: “Brazil doesn’t have a second amendment in their constitution.” However, as of May 2010 the Citizen Constitution (Brazil’s constitution since 1988) has been amended 64 times, which necessarily includes a second instance of an amendment being made. This fact renders a literal reading of Spitzer’s remark to be infelicitous. Instead, it is argued that Spitzer’s remark utilized the architecture of the situation to engage participants in a joint activity of maximizing the common ground.

This essay explores the role of a shared common ground in layered communication situations which enables participants to understand speaker construals. This falls within the domain of joint attention and pragmatic analysis of communication situations. Clark’s (1996) notion of Common Ground will be used to analyze the situation and untangle the communication layers to question what each participant needs to understand in order to orient on the intended meaning of the speaker. Using attested data from a radio interview, this paper explores three layers of communication and identifies the various aspects of a common ground that are required for a proper reading of a speaker’s intended meaning. This common ground is argued to be essential in the process of the negotiation of meaning. What follows is an initial exposition of the methodological process in this analysis, followed by a situating of the context for the data, and finally the application of the analytical method to the data with appropriate conclusions.

Attention Hot Heads (of any stripe): I want to be clear about this, I am analyzing the structure and content of someone’s statements about the Second Amendment; I am not making any kind of evaluation (positive, negative, or neutral) of the content of the surrounding political discourse about gun laws.  I will not debate in the comments about any aspect of this political discourse, but I will debate aspects of my analysis and of Clark’s notion of the common ground.

Download my paper here: http://ssrn.com/abstract=1794523

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On Failure & Resilience in Optimization of Human Systems, Ecological Systems, and Networked Systems of Systems

I was recently watching Eleanor Saitta’s talk called “Your Infrastructure Will Kill You“.  Part of her talk outlined how optimization equals fragility (more or less).  That to the degree that something is cleaner, more elegant, or more efficient, it is fragile, and a break in the system can be potentially catastrophic.

In thinking about her comments I thought of a few examples where I have observed optimization creating a state of fragility, here are a few of my thoughts:

  • This has interesting considerations for general principles of design, specifically the form/function aspect of design. Probably the point at which form begins to extend beyond the needs of function the focus on form becomes gratuitous and potentially even hazardous (depending on the type of system).  Ironically, optimization in this case is not absolute optimization, but only optimization considering a specific set of requirements: when things are running smoothly then the system is optimized.
  • Another place for failure is when relationships are optimized; when the dispersal of information through a system relies on optimized relationships it only takes the breaking of one of the nodes in a network to create a chain reaction of subsequent nodes being uninformed.We think about how a well-connected network effectively distributes information, specifically in recent thought this informed an analysis of William Dawes vs. Paul Revere – showing how Revere’s relationship of network brokers enabled him to broadcast more extensively than Dawes’ impoverished closed network.  This is good thinking, except that it misses the point of threat: Revere was a weak link in that optimized chain of information; had he been eliminated his message would have been eliminated.  Revere and his network, although connected and optimized, were fragile.
  • In generative linguistics there is an optimization of the lexicon. Economy in space is valued above economy in processing; if this is opaque to you, I mean that generative linguistics tries to minimize the amount of information that it stores as unique units.  It is called “generative” because it generates complex utterances from values stored in the lexicon through recursion, instead of storing those values as wholes.  But there is a weakness; in optimizing the lexicon the generative power of the spell-out rules of Universal Grammar are fragile when it comes to dealing with actual language usage (which is the test of a linguistic theory, is it not?), and the rules fail to account for some foundational constructions of language (like idioms for example).

Ok, so there are lots of places where optimization leads to failure, but what are some ways in which optimization leads to resilience?  What are some solutions to these problems?

Redundancy is a great solution, but it is bulky.

  • When function is optimized it allows you to work backwards in the process of making things have better forms. This is actually how a lot of design progresses.  Think about how every piece of electronic technology that we have today had a larger predecessor.  Think about those clunky mobile phones from the eighties with the handset, base and cord in a leather bag, now look at the mobile phone you carry in your pocket.  Functionality was concept proven in the clunky design, and the form was optimized to enhance the function.
  • It seems to me that the optimization weakness in the Revere incident was that Revere was the weak link.  Instead of depending on the optimization of Revere’s relationships, perhaps the message itself needed optimization. One possible way to optimize the information load of a message is to abstract it (as was done with the signal of the hanging lanterns to indicate the route of attack), and another way is to reduce dependence upon a single messenger exploiting a network (In 1775 the sexton who hung the lanterns was a single messenger, Revere was a single messenger, et cetera).  Flooding a network with messengers bearing an abstracted signal would have been less fragile (put aside for the moment the need for secrecy in the 1775 incident).  In situations where secrecy is not vital, consider how this kind of network flooding would communicate the coherence of the message; when you hear the same thing from five people you at least start giving some credence to the constancy of the message.  In such cases what may have been unknown or even background information becomes salient and foregrounded through repeated exposure. Also, consider other types of signals that can be exploited to prompt a response of crowd mobilization, noises work particularly well.  Sirens and loud noises alert and orient people’s attentional systems toward the source of the signal, and that source becomes figural in the contextual noise of that signal.
  • Optimization can lead to resilience in online processing, like in a maximized lexicon that places the task of optimization on the processing skills required in the selection and extraction of form-meaning elements from the inventory.  Cognitive approaches to the lexicon seek to preserve economy in processing; instead of having a minimal lexicon with lots of processing rules, the cognitive approach has an ordered inventory of form-meaning pairings (including monomorphemic elements, constructions, and phrases that are learned whole), with an optimized processing system of constraints, schemas, and other elements of cognitive processing (see this week’s post on emergentist vs. universalist view for understanding the contrast in general cognitive processing vs. modular mind).
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Ham Radio was the original Twitter

Amateur radio station of DJ4PI

Image via Wikipedia

So I was driving home last night and saw an old man in his station wagon, I happened to notice that his license plate was his amateur radio call sign.  This promptly reminded me of a recent occurrence at the Linguistic Society of America’s annual meeting where some of my Twitter friends had a “TweetUp” (for the uninitiated, it is akin to a “Meet Up”). In the lobby of the hotel we started to introduce ourselves by our Twitter profile names.  In fact, most people had their profile name on the back of their conference name badge printed like this: “@SportLinguist” (go ahead, follow me).

As my first exposure to this kind of behavior it was an interesting moment for me.  But this is certainly not the first time this has happened for Twitter users, and it is certainly not the firs time it has happened in technological history.  Pre-internet days had people using Citizen Band (CB) radios where everyone had a “Handle” (aka: radio name), and this was the tool that truckers and road-trippers used to stay connected on the lonely highway.  Before the CB was the Amateur Radio and the “Hams” that used them.  In fact, so as not to mislead you, Amateur Radio still has a strong presence and user base, even recently being used in OUTER SPACE at the International Space Station. Continue reading

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finally a post remotely related to sports…

I admit it, the “Sport” in “SportLinguist” might lead you to believe that I write about sports.  Well, I don’t…but this automated software does write about sports.  In fact, all you have to do is type in some stats and out pops a sports story/narrative.  “Robo-Journalism” (as they call it) still has some glitches, apparently it has problems tracking reference: “…In one passage, the software lost track of who had beaten whom…” The article doesn’t say explicitly, but I would guess the problem lies in figuring out anaphora and cataphora as concepts.  Anyway, check it out, it is a good read and who doesn’t like robots?…functionally that’s what this is after all.

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