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专家访谈 || 美国埃默里大学Roberto Franzosi教授访谈

混合研究  · 公众号  ·  · 2017-08-02 17:51

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  Hey~ 

我们又见面啦~





Roberto Franzosi教授是美国埃默里大学社会学系教授,讲授语言学与社会学方面的课程。在研究过程中,Roberto自己发展出了一种语言学研究路径:量化叙事分析(Quantitative Narrative Analysis)。这一分析模式是建立在五W的基础上,通过对主、谓、宾(SOV)的分析实现对叙事文本的量化分析。为了达成这一目的,Roberto还带领自己的学生研发了一款专门做量化叙事分析的开源软件:PC-ACE。目前这款软件已经可以实现很多量化文本分析的功能,但也存在安装难度大、对运行环境要求高等问题,Roberto和他的团队目前正在致力于进一步完善其量化叙事分析的方法与工具。

 

我在一个为期两天的工作坊中见到了Roberto教授,他带着意大利人特有的热情与风趣,为工作坊学员介绍了量化语言学研究方法,并于会后接受了我为导师王锡苓教授带领学生所创办的“混合研究”公号的采访,详细介绍了他在量化文本分析中的经验与体会。我在访谈Roberto教授的基础上,整理此贴,简单介绍下量化叙事分析方法。

 

身为语言学家的他,非常强调语言优美的重要性,甚至开玩笑说,“只要编辑说我的语言是最美的,我的论文被编辑拒绝掉我都不在乎。”采访结束,他又反过来采访我,让我描述在北京的生活,然后从我的描述中,习惯性地总结叙事结构、分析语言模式。看得出他很享受目前的研究,倾注了全部的心血,也希望更多人能了解他的这一分析模式,同他一起发现从文本到数据的魅力。


1

何为

量化叙事分析

首先,叙事分析是针对特定类型文本的分析。“我们会遇到很多类型的文本,而这里我们将文本锁定为叙事文本。因此,我们只分析这种故事的、叙事型的范式。文本分析与内容分析则不同,那些方法可以去分析哲学的、历史的或者就是报纸的文本。从定义上讲,叙事分析主要处理的是故事型文本。所以,叙事分析的基本类型就是五W模式,谁(WHO),做了什么(WHAT),什么时间(WHEN),在哪(WHERE),以及为什么(WHY)。但并不是所有类型的文本中都会包含有这五大要素。”

 

其次,量化的分析方法是与此前不同的一种文本分析思路。“而量化叙事分析是我首先想到的,因为我对将文本量化很感兴趣。同时我又对社会事件的参与者及其行动颇感兴趣,于是就想到了五W这一结构。其实在此之前我并不知道五W理论的存在,直到后来才知道早已有人提出了这种叙事模式。而我的研究是从中抽象出了社会活动的行动者,并试图在博士学位论文中,基于计算机技术和数学将其量化。”

 

因为大部叙事分析都是质化的,所以Roberto教授将自己的分析方法取名为“量化叙事分析”。不过在他最初向人们描述自己研究时,用的是“从文本到数字”这一表述。后来,为了便于表述和记忆,才正式改为“量化叙事分析”,这些变化过程从他的论文和书籍中都可以找到踪迹。

 

“这只是一种分析方法,我从20世纪80年代开始在约翰霍普金斯大学的博士研究开始,那时我主要从事数学和统计的工作,非常量化。我的博士论文是研究意大利罢工运动,在论文的结尾我意识到,除了经济的因素外,还有很多社会行动主体及其活动的影响,但这些影响没有体现在我的论文里。比如,国家做了什么,工人做了什么,工会又做了什么。”

 

“于是我有了这个想法,就是用报纸作为历史数据来源。在密歇根大学做博士后时,我同Charles Tilly还有很多其他同事一起,用报纸作为数据源来研究社会行动的主体。从那时起,我开始萌生了这一想法,就是从社会活动主体身上挖掘更多的信息。做量化叙事分析的想法也就产生于此。”

 

“之所以做量化分析,是因为计算某些词频成了问题,需要借助量化的方法和工具来解决。也就是在那时我出版了《从文本到数字》一书。当然,直到SAGE出版了我的《量化叙事分析》这本书,‘量化叙事分析(QNA)’这一说法才最终确定下来。”



2

混合研究方法

作为一种量化的研究方法,量化叙事分析试图从文本中获得数据,而不是采取阅读分析或引用的方式来分析文本。Roberto说质性文本分析更像是一种近距离的观察,而量化叙事分析则是一种远距离的审视,两者的出发点不同,分析思路也不同,反而恰好可以互补,无论是从研究设计,还是从研究结果的角度考虑,都应该结合使用。

 

现在再进行量化分析,也就是所谓的远距离文本阅读,你可以借助计算机来做了。但在现实中,我还会做大量近距离阅读,因为远距离阅读可以带来很多宏观发现、词语、关系,然后你可以在这一基础上,再去仔细阅读那些分析材料。我通过先发现模式,再不断聚焦的方式,将质性的和量化的方法结合在一起。我也会在对结果进行可视化处理的时候,结合质性与量化研究,这点我的论文里都有体现。

 

Roberto还专门写过文章,比较量化文本分析工具PC-ACE(“Quantitative narrative analysis software options compared,PC-ACE)与质性文本分析工具CAQDAS(ATLAS.ti,MAXqda,以及NVivo)的异同,文章分析了不同类型的软件所适用的研究类型。“当我于1984年开始从事量化叙事分析时,电脑系统还没这么发达。所以我需要自己来开发所需的软件。而且NVivo等软件专注于质性分析,不能实现我想要的量化分析。而现在我的这个软件已经能实现很多功能了,也有些人在用我的软件实现自己的研究目的了。”

 

“PC-ACE有很多功能,但正如你所看到的,同时存在很多问题,比如安装困难。所以现在也有很多新的软件或程序可以做语言学的分析,也都很容易。”

 

“我做过一个队混合方法的研究,写了论文‘Ways of Measuring Agency: An Application of Quantitative Narrative Analysis to Lynchings in Georgia (1875-1930)’。”这篇论文引起了一些对文本分析方法的讨论,一些学者就文本分析究竟能否将质性研究与量化研究结合起来,以及如何结合的问题,写了一系列学术讨论文章。Roberto认为,两种不同研究范式的结合,取决于研究者在研究不同阶段的侧重点与研究思路,而量化方法中的社会网络模型、时间序列模型、以及地理位置分析模型,都可以有效运用于文本分析。他本人的研究也一直在探索两种分析范式的有效结合与分工协作。


3

怎么做

说了这么多,那究竟什么是所谓的量化叙事分析呢,我们自己在研究中又该如何践行这一分析路径?Roberto通过一些例子告诉我们,叙事分析关注的是行为主体及其行动,也就是句子的主体:主语、谓语、宾语。然后试图挖掘隐藏在文本之后的叙事模式及话语结构。为了测量这些并不直观的信息,我们需要用到量化叙事分析。

 

“我觉得我们首先要聚焦于五W,因为这是在叙事中最直观也最容易找到的要素。但除此之外,文本中还会包含很多信息。所以如果你想想拉波夫(William Labov)关于叙事功能的分类,这也是叙事分析要关注的一部分。首先,第一部分是摘要,类似于在开头的简要总结。接下来是一些恰当的描述,比如‘这是伦敦美妙的一天,春天,很凉爽,人们走在公园里。’这就是一段描述。接下来就是正式的叙事了,此时就要谈到五W了。比如‘Rebecca在说话,Rong在听她讲话并录了音。’这就是关于人们的一段叙事。再比如,‘公园的草坪上,有人在踢足球,有些人在睡觉,还有些人手拉着手在散步。’简介、描述、叙事之后,接下来就是评价部分了。比如‘见到Rong我非常高兴’就是一句评价。”

 

“五W不涉及评价,因为评价是一种较为抽象的概念。而且五W对叙事开头的简介和结尾的评价也不感兴趣,因为无论它们包含什么,基本在叙事的主体部分都会出现。所以,你可以只聚焦于叙事的主体部分。当然,通过五W也很难分析描述部分,所以,我们就需要通过质性的方法来对描述和评价部分进行分析。即使这些部分也是侧重于行动者及其行动的,但我们不做量化,因为对这些部分而言,数字并不是最重要的。”

 

“我也试着量化分析描述和评价部分。换句话说,我们可以去找哪些词是用来进行描述或评价的。你可以用这些来分析评论和描述部分。而且我们还可以做可视化的处理,这确实把数字图表变得更为漂亮。当然,我对文字之美有些执着。”

 

“现在我们还可以做动态的网络,动态的GIS(地理信息系统),而且就现在的技术发展,我们也可以把这些自然语言放入工具中,来看看这些文本可以告诉我们什么,这也是在尝试从文本中尽可能多地提取出数据来。”


4

结语





对于文本之美、数字之美、可视化之美,Roberto有着自己的追求和执着,他通过量化叙事分析的研究视角,关注行动主体及其行动,挖掘文本背后隐藏的内涵。虽然是语言学的分析方法,但在文本分析热潮袭来的今天,也可以为我们所借鉴学习,打开新的视野。




(图为Roberto与访谈者合影)


附录:访谈英文原文整理节选


采访地点:林肯律师学院广场(Lincoln’s Inn Fields)

采访时间:2017.05.23

采访对象:Roberto Franzosi教授

访谈者、整理者:王荣


Roberto Franzosi is Professor of Sociology and Linguistics at Emory

University. He earned a BA in Literature from the University of Genoa (Italy) and a PhD in Sociology from Johns Hopkins University. After a postdoctoral year at the University of Michigan, he taught at the University of Wisconsin-Madison, Oxford University (with a fellowship at Trinity College), and University of Reading. His main research interests have been in social protest (e.g., The Puzzle of Strikes: Class and State Strategies in Postwar Italy, 1994). He has had a long-standing interest in issues of language and measurement of meaning, with several articles published and two books, From Words to Number: Narrative, Data, and Social Science (2005), and Content Analysis (2008). [SAGE INTRODUCTION]

 

Q: What is quantitative narrative analysis?

It is a technic that I developed, I started working on it in the mid-1980, during my Ph.D. work at Johns Hopkins. I did mostly statistical work and mathematics, that’s all I did, very quantitative. But at the end of my dissertation, which was on Italian strikes, I realized that there were more to strike than economic coefficients, like there were actors, social actors, which had disappeared, what did the state do, what did the workers do, what did the unions do.

 

And I started coming up with the idea of using newspapers as sources of social historical data. I was postdoc at the University of Michigan and with Charles Tilly, and lots of people at Michigan were using newspapers as sources of data to go after the actor, and that’s when I started working with the idea of using text to extract information of social actors.

 

So, quantitative narrative analysis started from this, the idea of extracting who dose what when where and why. And quantitative because by counting the frequencies of these words in relation to other words then become a quantitative problem. And at the beginning of 1980s, and even in the mid-1990s when I published the book , I thought of the problem as, you know, going from words to numbers. And only when I published the SAGE book that I use the slogan ‘QNA’, because it is easy to remember than ‘from words to number’.

 

Q: So, you developed the word?

Well, it is interesting. Yeah, I mean all traditions of narrative analysis, right? I call it quantitative narrative analysis because mostly narrative analysis is qualitative. But because I turn these words into numbers, then I call it quantitative narrative analysis. In reality I didn’t develop anything. I mean this 5Ws, the who what where when why, has been there since this 5th century before. But at the time when I developed QNA in code, I didn’t know any it, it’s only afterwards I started.

 

Q: What is the difference between quantitative and qualitative analysis?

Qualitative analysis they would never try to get numbers out of the text. They analysis the text very closely, they use quotes, they use passwords, but they don’t like quantitative analysis.

 

Q: Then what do you think is narrative analysis?

So narrative analysis deals with a very specific type of text, a text that is narrative. So we deal with the genre, which is called stories, narrative. While content analysis deals with any types of text that is a text that could be analytical, could be philosophy, could be history, or could be just any newspaper. So, narrative analysis by definition deals mostly with narrative, with story. So the basic type of narrative analysis, the 5W of journalism, the who the what the where the when and the why, and not necessarily would you have those in a more general type of text.

 

Q: Why do we need to take QNA specifically out?

That was my own development, because I was interested in quantifying text. But I was interested in social actors and their actions. Hence I came up with this structure, all the 5Ws, and I was very lucky because if I look at any other type of text genre, text types, I would not have found 5Ws. And Alexandra already talked about the 5Ws. So it was my development because I was trying to extract social actors but I want to quantify because I develop all that idea at my Ph.D. based on computers and math. So when I wanted to go after the social actors, I wanted to quantify them.

 

Q: What does narrative mean, and what does narrative contain?

I suppose that the qualitative narrative analyst will also focus on the 5Ws, for the simple reason that this is found in the narrative, right? But there is more in narrative that justify 5Ws.So if you think of William Labov’s classification of the type of functions that you found in narrative, that is a part of narrative. So there is an abstract, like the summery at the beginning, then there is the narrative proper, description, and description means like: ‘It was a beautiful day in London, it was spring, it was cool, there were people in the park'. So that is description. And then there is narrative proper, and narrative proper is about 5Ws.So Rebecca is talking, Rong is also talking, or listening or recording, so those will be the narrative proper, it is about people. Then there are people playing football, some people are sleeping, people are holding hands. Then there is the evaluation. And evaluation is for instance if in this kind of narrative it would be ‘it was a pleasant surprise to be with Rong.’and just to see the difference between an English culture and the Chinese culture. You know, then you evaluate the conversation and the event of you and I being here. And then about culture coda, that is the end. Coda is like tail, literally coda means tail.

 

So, the 5Ws cannot capture evaluations, because it is about abstract concept. So the 5Ws would not explain to that. The 5Ws would not be interested in the coda than the abstract because whatever is in the coda and in the abstract this probably going be in the body of the narrative. So you focus on the body of the narrative. And the 5Ws would not capture description. ‘It was a beautiful day, there is anybody doing something.’ It is more likely that people doing qualitative narrative analysis may focus on description or on evaluation. Although they will focus on actors or actions but they would not quantify it. To them it is not the numbers that matter.

 

I am trying to see if it is possible to get to see with QNA to description and evaluation. In other words, can we figure out the way which there are certain verbs that are descriptive and certain words that are evaluative. And you can then use this to just abstract the evaluations and the descriptions. Because next year they are taking an independence course with me and I am thinking what could we do, and this is one of the things that we could develop the computing routines. Because I work on narrative, all my life I work on narrative and so the routines that we deal with narrative like the shape of the stories really excite me. Because they have beautiful shapes, it really does turn the game from a stupid table of numbers to beauty. And I have an obsession sort of beauty.

 

Q: What is new in this area?

Dynamic network, dynamic GIS (Geographic Information System), and I think that now with the conversion of all these narratives into text files, we can process natural language in tool, that is why I became so obsess with QNA. To see what they can tell me, it is like trying to get more data in other words. Because doing quantitative narrative analysis all you care about is 5Ws.

 

And now you have many more information it is like how is the black man characterize. It is really funny I am not started to analysis most obsess with developing ever more new tools. Develop ever more ways of looking at things you know. Sometime I wonder whether I am just methodologist you know, but the project on this is coming to an end. I mean it is basic finished now. I am a methodologist there is no doubt, but my interests are always substantive.

 

Q: Should I call you a story researcher?

You know this is really funny because through my work on stories, which are the object of my own study. Now they have become the tools of my own work. So from object of my observation, they have become tools for me to write beautifully. I was just using them as object of study, but now I figure out how to use stories.

 

Q: What is your opinion on mixed methods?

Now quantify the text through QNA which is called the distance reading, you have the computers do the reading. But in reality, I have down so much more close readings. Because the distance reading brings up stuff, they bring up some terms, some relationships, and then you go in and read those documents very closely. I combine them so I draw a pattern and I zoom in. I also combine qualitative and quantitative outcomes in visual.

 

Q: What is the difference between PC-AC and NVivo.

When I started working on quantitative narrative analysis back in 1984-1985, there were no computer system. So I started developing my own software. And then in any case, NVivo, and others cannot do quantitative analysis. It is impossible to do it, we wrote a paper showing that you could not do it. So I just have to continue developing the stuff. And now I am at the point where it is almost good enough, you know I always use it myself, and a couple of other people.

 

PC-ACE is capable of lots of functions, but as you saw, it is very difficult to install for one thing. So it is much more capable of doing and it can do a lot of computation linguistic stuff. There are more and more software to do this stuff very easily.


 


  







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