Science story plots
After the opening comes the plot.
A small number of plots dominate literary fiction; nearly all stories are variations on them. One list of plots is the following:
1, Overcoming the monster
2. Rags to riches
3. The quest
4. Voyage and return
5. Rebirth
6. Comedy
7. Tragedy
It’s the same with science: few plots.
The kind of writing we will be illustrating here is the research article. With a little wordsmithing, you can always turn your scholarly work into a popular work.
Let’s begin with a common plot in experimental sciences, a deductive one:
Data —> Rule —> Conclusion
Data: “I did A, and got X. I did 30 trials.”
Rule: “If you do A and get X most of the time, you can conclude…”
Conclusion: “…That something in A causes X.”
Think of the Data here as an experiment that helps establish causality. Let’s thank the philosopher John Stuart Mill for coming out with about 4 or 5 basic plots or experiments or studies, that together establish causality.
These basic experiments are called Mill’s Methods. They consist of the methods of addition, subtraction, concomitant variation, and the method of residues; two are also combined, addition/subtraction. Examples:
- Addition. “I burn some tobacco leaves, I don’t get a high. I burn some tobacco leaves spiked with Cannabis leaves, I get a high. Therefore, Cannabis leaves cause a high.
- Subtraction. “I get a mixture of tobacco and Cannabis, and I painstakingly separate the leaf particles. I burn the tobacco part, I don’t get a high. Therefore, Cannabis leaves cause a high.
- Joint addition/subtraction. “I get tobacco leaves, mix it with Cannabis, and split the mix into two parts. I burn the mixture and get a high. I then take the other part, painstakingly separate the Cannabis, and burn what’s left, and I don’t get a high. Therefore, Cannabis leaves cause a high.” (This might be familiar to some of you as the “knock in/knock out” experiment in genetics: replace Cannabis with a foreign gene.”)
- Concomitant variation. “I get tobacco leaves, mix it with Cannabis in increasing concentrations. When I smoke the mix that has more Cannabis I get a faster high. When I smoke the mix with less Cannabis, slower high. No Cannabis, no high. Therefore, Cannabis leaves cause a high.”
- Residues. “Cannabis leaves contain at least 3 components: THC, tar, and proteins. I extract with solvents to give three preparations, each containing pure THC, pure tar, and pure proteins. I burn each. I only get high with THC. Therefore, THC in Cannabis leaves causes a high.
We may include supporting experiments, like standard curves, to ensure that the methods we use work well. We also use supporting experiments to test assumptions. Supporting experiments strengthen other experiments directly, and the conclusion indirectly.
The data (in our example, experiment + result) are then run through some rules. Examples of rules:
- If you do a t-test on two groups and get a p < 0.05, the treatment has an effect.
- If you do ANOVA on several groups and get a p < 0.05, at least one of the treatments has an effect.
- If your concomitant variation plot has a R2 > 0.75, there is a significant association between the two variables.
These are in fact statistical rules. Other rules include models, neural networks, a theory, a previously demonstrated hypothesis, any generalizable principle.
The conclusion then “follows” after the data are run through the rules. But the conclusion does not necessarily follow, unlike in a true deduction. The conclusion that comes out is “more or less” strong. It is strong if it is supported by several experiments, or better, lines of evidence. (I say “lines of evidence” because we don’t always do experiments. For example, we can do observational studies — no manipulation of the independent variables. Yes, there are statistical rules for that kind of work, too.)
As a rule of thumb (not written in stone) posters, short communications, and research articles differ by the number of lines of evidence:
- Poster: 1 to 2 lines of evidence.
- Short Communication: 1 to 3 lines of evidence. The reason they are published is because the writer thinks it is very important for people to know now.
- Research article: 4 lines at least, usually 6 being the minimum.
Now, let’s return to the deductive plot:
Data —> Rule —> Conclusion
Let’s add a few more “plot elements”: the warrant and the qualifier. These elements take account of the fact that science is inductive, but is using a deductive plot. How do you reconcile?
First, use warrants to support a rule. Examples:
- Who made that rule? What’s the reference journal?
- If the rule is a neural network, what are its components?
- If the rule is a mathematical model, who made it? Who said we could use that model in our case?
- What experiments or actions were done to optimize the model, or the method, or the machine, to say for sure that they work well on the data?
Second, use qualifiers to put limits to the conclusion, toning it down. For example,
“Assuming THC, tar, and protein are independent, then we conclude THC causes a high.”
Another sentence will convey the same idea: “Unless the THC preparation is contaminated by some of the two others, then we conclude that THC causes a high.”
Other common qualifiers include:
- “As far as we can tell…”
- “Within the values of Cannabis tested…”
- “Until we can measure ‘high’ more objectively, then we must say for now that THC causes a subjective high.”
We see that writing scientific articles can seem daunting. How much daunting you want in your life is your choice, and the choice of your collaborators. Most articles have multiple authors because so many lines of evidence, techniques, statistical tests are involved for one or two authors to do it all.
The Seatwork: Write a Short Communication
Let’s write a Short Communication.
For this exercise our Short Communication will use ACTIVE verbs. Think of it as writing a letter to scientist friends (which was how articles were once written). Thus, write your draft IN THE FIRST PERSON. Or 2nd or 3rd. Later, you may rewrite with passive verbs as befits the style of the journal.
Select an experiment you did in a class here or in high school. Write about it following the IMRaD structure. Use the Storytelling style of the Introduction.
Describe at most 2 lines of evidence in the Methods and Results, each with supporting experiments IF appropriate.
Give the warrants (e.g., citations) of the rules you refer to in the Discussion. Put the proper qualifiers in the Conclusion.
One page only.