Transformations Abound: Johnson-Eilola & Siebler, Spilka

I want to draw more heavily from Mirel's "Writing and Database Technology: Extending the Definition of Writing in the Workplace" than Spilka, although there are numerous connections between the two. The reason I am compelled to hang with Mirel is because her discussion of technology as a value-less medium for reporting data is an issue I most recently confronted in my WRT 105 course. I had assigned a CDC fact sheet on HIV in the US as of 2007, and students were to apply a heuristic they created based on Bartholomae & Petrosky's "Introduction: Ways of Reading" to the fact sheet. While I should not have been surprised realistically, I was alarmed when the discussion of the method of writing quickly dissolved into a debate about whether or not the CDC facts were argumentative. Further, many students felt that my comment that we could not trace the methods for which the CDC gathered their facts, thus making our discussion really about the presentation of their data rather than a comprehensive look at their methodology was grossly unfair. It further went without note that the CDC's references included its own results from previous studies. Finally, that the data was arranged on the fact sheet in order to persuade an audience and even influence how they felt or behaved in regards to HIV was a subject we could not resolve, but instead had to table in order to continue with the heuristic.

I can't help but write the summary with a leery tone, despite my best efforts. How can students not see that reporting the CDC's own data in the form of pie charts in which male-to-male transmission, African Americans, and intravenous drug users are high risk groups propagates a notion of HIV as not white, heterosexual or seemingly normal people's problem as well as connects to a long tradition of those particular groups having moral deficiencies? Further, after a student discusses at length how down low men's increasingly vital role in heterosexual transmission in minority populations was even a subject of an hour long Opera show, how can students not see that merely reporting HIV as a problem for African Americans and gays does not cover the complex intricacies of sexuality that are continually complicating every day people's mis-education about HIV? And better yet, how many of you even know what the hell I'm talking about, making not only the information I'm trying to grapple with, but the way I'm reporting that information a rhetorically complicated task, and thus in line with Mirel's discussion of reporting on information?

What was at the forefront of our class debate then was whether or not technical communicators invoke rhetoric when reporting data from the field (which field?). Many of my students believe, as Mirel points out, that the pie charts and CDC study's represent a mere objective reporting of the real situation of HIV. It is illogical, they would argue, that those statistics or even the way those statistics are gathered engages in rhetorical concerns, or went through a delivery process to imagined audience at a point in time under certain conditions (or assumptions). While I obviously find this position itself illogical, I can understand on many levels why it is preferred.

If the CDC has its own ends, means, method, methodology and even epistemology about HIV, then how will they, the students, ever know or know to trust info about HIV? In other words, if something as serious and scary as HIV is implicated in something like rhetoric, then what hope is there to ever DO something about it? Further, if we must be critical and examine how it is that the CDC, a government sponsored agency created to service the people and their health concerns, then what information about HIV is ever indisputable? Isn't HIV an issue in which we should have access (or even demand access) to indisputable facts? These aren't quite the naive questions I immediately assigned to my students, but instead are fair and logical questions in regards to cause and effect nature of information.

I agree completely with Mirel's suggestion that a pedagogy which plays with scales, or scaffolds the size of audience and task so that students move from more micro conceptions of data-to-audience reporting to macro conceptions is an important technique for teachers to utilize. However, I have a hard time seeing how scale will so neatly mitigate data reporting concerns that intersect so intimately with other personal factors, like sexuality, gender, race and economic class. If the CDC had reduced its study to only Syracuse, and the numbers they had reported still came up with high risk groups as being homosexuals, injecting drug users and African Americans, would that have made a difference in the way students conceive of risk and sexuality, habit, economics and race? Even if the numbers they had reported were not nationally comparable (that the high risk group was Caucasian, wealthy, heterosexual women), have my students understood the appeal that such data makes on behavior, as well as the connection between the arrangement of that data to important rhetorical decisions?

While this connection is not only my job, but also my raison de etre, this is a difficult connection to demonstrate. I wonder what the feasibility is of training tech communicators in the connection between rhetoric and data reporting without a four year study program in rhetoric? I mean, how besides the classroom, can this connection be implemented? Because while I struggle to help my student make the connection, in reality there are a large number of people who will not go through my (many would call torturous) 105 in which we use HIV as a course inquiry, nor will they go through a tech comm class in which the instructor is trained or wants to explore the connection. So I guess what I'm asking is whether this is a bit of a preaching to the choir kind of thing. While I found her contribution to the anthology incredibly insightful and helpful, how do other folks with a stronger sense of tech comm training or even tech comm workers and workplace conditions see her work as having any real contribution to the enterprise?

4 comments:

Mike Frasciello said...

Amber, this is a great example of the tenuous connection between the academy and the field of practice. I personally see Mirel’s argument as part of a continuum of arguments for more extensive exposure to Rhetoric (and other humanistic disciplines) and rhetorical techniques, practices, analyses, etc. in tech comm programs. In this regard, I think she is making a real contribution to the enterprise. However, I agree with your point about the feasibility or likelihood of the exposure occurring anywhere beyond a single lower-division course. I think a study of the curriculum of tech comm programs would reveal a range of courses that attempt to do just this kind of exposure. But there is no consistency – no continuity – so we’re stuck with this sort of hope-for-the-best scenario. It problematic and troublesome, as your example of the CDC reports reveals.

Vlad said...

I suppose I agree with Mike hre that Mirel's argument is valuable in that it is a piece that advocates "the crucial need for a rehtorical understanding of data-intensive communications for complex problem solving" (382) in the teaching of tech. comm.

As you mention though, if you're not exposed to the rhetorical nature of technical - in this case tabular - communication at any point, why would you deem it necessary to question it?

Your question about data presentation and scaling is an interesting one to me. I also think your question about affect on behavior with respect to data is a relevant one; however, I don't know what to do with it.

I mean, in a sense, you're/we're grappling with the nuance - or in this case the inability of the CDC stats to recognize nuance/causation - of complexity. Without throwing our hands up and claiming that communication of realities - socioeconomic, racial, gendered, sexual, etc. - is impossible because in the act of classifying data the nuance of complexity is lost, we must recognize that there is some sort of common ground? Or must we? Is it just a matter of recognizing that data is rhetorical? Must we then act to change the sort of data you've mentioned in the CDC example? Should we?

I think these are relevant questions that might be as old as the signifer/signified relationship. I'm certainly not arguing for complete transimission models of communication; however, I'm also not arguing for a universe of signifiers in complete free play without referents. Is there a middle ground? Is tech. comm. engaged in a "middling" ground of some sort for this form of communication? OK, so I'll stop with all the questions. . . but I did really appreciate this post because it pushed me to think about these sorts of things with a nice, concrete example. :-)

luce said...

Premise: Humans make Technology
Tech shapes:
-work & workers <--Economic Factors
-textual forms
-production <--Market Factors
-authorship
-ethics

Shift from tech writer as a kind of piece worker (writes on an assignment bases, not intense background in writing or tech comm) to writer as something more specialized, more situational, almost more freelance but professionalized.

Support economy--> individual problems for individual workers. A la carte kind of deal.

How do we decide what we teach as tech comm? The same can be true for writing in terms of questions.

symbolic-analytic model: to negotiate situations, but contextual

on the job people argue back and forth for skills set vs rhetorical comprehension; skill set seems to be something that can be done on the job; reflexive move to make argument to go back pulling comp & rhet into curriculum

tech comm becomes a way to mitigate the fact that applicants can't write

How do we as educators address the tensions between rhetorical education and skills marketability?

To survive you have to have a DIY attitude.

Divide between practitioners and academics; move away from that and increase work with longitudinal studies and ethnography;

Symbolic-analytic work: create conceptual and informational design, and deliver information to specific audiences for specific purposes. Think of them as rhetorical technicians. as symbolic-analytic workers, tech comms will need to find more efficient methods for creating and manipulating information.

luce said...

single sourcing (pg 68): how Amazon grabs pieces from databases and assembles them in a format that seems created but is more aggregate; consistency of language for different mediums that dispersed, people can focus on format of medium or audience; write once and pull out chunks for diff texts & rhet situations; database more important, scaffolding info, know code to pull and place, how many people are needed if you only write it once, some argue that this is a practice of continuous autoplagarism

user-centered design: audience analysis, user experience, usability,

iterative design: know users, troubleshoot scenarios, design for situation rather than design and test, design and test

distributed work: collaborating with people you cannot see, are in different geo-locations etc--basecamphq.com or daptive.com or projects.zoho.com; twitter has also mitigated collaborative projects between workers; real-time technical instruction

also allows for a more dynamic, active development of character & work at once

Who is the ideal consumer or user? What is their access or demands?

Traditional design more document-centric; this is much less document-centric; doing more symbolic-analytic on the front end

Mobility and ubiquity can change how we view technology

Ethical frames (239): get PDF of this and integrate it into the reading

incorporating tech into our body creates different relationship, an I/Thou kind of relationship

Sociology of a door closer--Latour argues tech has agency because it can constrain who can go through or how we go through door but as it changes our actions, it has agency

identity theft vs real theft

Post a Comment