https://docs.google.com/presentation/d/1mdAl4eS8ziGVKoU6OZ0wuqobHOEnp-VQhk78YYrFt_c/pub?&loop=false&delayms=15000
_
ROUGH DRAFT OF PAPER OUTLINE:
Lauren Benson
CAPS research paper outline
Draft #1
- Introduction
- explanation of successful literature so far
- research question/thesis statement
- Overview of past studies (ie. stony brook)
- fieldwork explanations
- graphs, data sets, surveys
- Interpretations of results
- Explanation of program
- criteria used
- decisions made
- Conclusions vis a vis research question
- What truly makes successful literature?
- Conclusion
- Introduction:
- overview of popular literature, including the classics as well as pop culture hits.
- Examples: Dickens versus Stephenie Meyer: Why are they equally popular?
- Has our taste in books become worse over the years?
- Do we even individually like these books, or are we just influenced by their popularity to be convinced we like them?
- What makes a book truly good? If it is the quality of writing, then why are such terribly written books so popular?
- Research Question: To what extent have recent statistical "trend" studies exploring success rates of novels shifted our definition of "quality literature"?
II. Overview of past studies
- Rather than be the first attempt to computationally analyze literature, I plan to use past attempts to create my own conclusions
- Explanation of how algorithms have been used to try to quantify the quality of writing
- i.e. decide on certain criteria that deems a novel to be “successful”, and programs the computer to compile all statistics related to such criteria
- Stony Brook Study
- explanation of study
- First real attempt to use algorithms for this purpose
- Other studies
- how they differ from Stony Brook
- how they are inspiring my own program
- Explanation of which criteria I find the most useful from these studies
- Which studies do I find useless/lack criterion validity, and which ones I find to be valid
III. Fieldwork Explanations
- Begin by talking about surveys
- Go through process of how I decided to survey people
- criteria used, questions asked
- include samples of some of the literature paragraphs I showed to people and explain why I used those particular samples
- Describe how I use survey data to design my program
IV. Interpretations of results
- depending on how many surveys I have, and how much data I have, I’ll categorize my results based on whatever criteria I end up keeping
- discuss outliers, discuss how surveys and studies are valid
- Interpret the actual results
- how do they respond to my research question?
- are they actually saying what I hoped they would say?
- Are the results disappointing or uplifting? (ie, what do people base their acceptance or rejection of literature on?
- Which results will I decide to keep, or will I use all of them?
- Will I have to change my survey questions/change my approach if I am not getting the results I need?
V. Explanation of program
- brief description of how writing a basic javascript program is relevant to my project
- compare/contrast my own code to that of the previous studies I analyzed
- Talk about which criteria I decided to use and why
- Is the program successful? Does it prove what I want it to prove?
- Brief description of the statistics I came up with
- Analyze such statistics
- Do these support the data I gathered from my actual surveys? As in, does the computer match what real people are saying?
VI. Conclusions vis a vis research question
- Based on my final data/statistics, what have I learned/concluded?
- Have my opinions changed?
- Have I proven anything that previous studies neglected to show?
- Do my own results negate the previous studies, or support them?
- Describe my actual conclusions: What makes successful literature based on my results, and describe its relevance to real life opinions?
VII. Conclusion
- Explain point of entire project, and why its important?