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[Note for bibliographic reference: Melberg, Hans O. (1997), The criteria for good academic work - 1996: My aim and the year in review http://www.oocities.org/hmelberg/papers/970303.htm]




The criteria for good academic work
1996: My aim and the year in review

by Hans O. Melberg


By what criteria should we judge academic works? In the following I shall suggest and expand on five criteria. A good piece of work should be surprising, convincing, important, honest and well written. In expanding on these labels, I shall also try to comment on some of my own works in order to see where I can improve.

1. Surprising
When I read an article or a book I want to learn something I did not know before. This, in short, is what I mean when I say that a work should be surprising. Maybe surprising is the wrong word since it is possible to learn something new which is not very surprising. It might, therefore, be more correct to say that a good work should contain information - ideas, analyses - which I have not thought about, or considered to be true, before I read the paper: It should be non-obvious.

Now, the reader might ask, the demand that a work should be surprising is itself not a very surprising claim. Maybe not. However, it is also true that I have wasted a lot of my time reading obvious conclusions and analyses. To mention two examples. In an otherwise decent book, Stephen White mentions that 1.1% of the respondents in a survey "stated that they would listen with more attention to a lecturer who simply read out the text in front of him" (p. 118). He also wrote that "the better educated [representatives of the nationalities] appear ... more likely to know Russian" (p. 150, Political Culture and Soviet Politics). There are many other examples of obvious conclusions and studies, such as serious research concluding that children with parents who have many books tend to get better grades than children of parents with few books. Hence, while the demand may not be surprising, actual practise demonstrates the necessity of stressing the criterion that we should aim at non-obvious knowledge.

Jon Elster once wrote that surprising results are not the only results worth pursuing since we may use research to transform prejudices into well founded beliefs. (A chapter on Basic Research in the book Vitenskap of Politikk). I partially agree. However, imagine the choice between two activities - one which has a high probability of leading me to revise my beliefs in toward a more correct position and one which might lead me not to revise my beliefs though the research may make the beliefs better founded. I would choose the first activity: It is better to be right for the wrong reasons than to be wrong! (or?) At least in a pragmatic sense since you base your actions on the beliefs. Though, the problem might be that we do not know which activity has the highest probability of leading to revision of beliefs. Although we do not have detailed probability estimates, I do think I am more likely to revise my beliefs when I read a book by authors with opinions that (initially) differ from mine. This is why I read Jon Roemer's book about socialism, since I tend to be a conservative/liberal and he is not. Thus, reading him may lead me to change my beliefs - at least the probability for this is higher than if I read a book by a conservative with whom I broadly agree.

Personally, my own ideas may not be too surprising. The main reason being that I am still in the process of learning what other writers have written. However, I try to write about topics which are debated. In order to make sure do this I must always quote an author who has an opinion different from me, as I tried to do extensively in the long paperThe Cultural Approach to Russian History and in general by always starting from concrete examples.

2. Convincing
By convincing, I mean that the conclusion should be backed by solid evidence: There should be a high probability that the conclusion is true. Now, this is certainly not a surprising requirement, but it is possible to elaborate a bit by pointing to how I think it should be done. In the previous year I have given quite a lot of thought to this and in my paper The Cultural Approach to Russian Politics I outline the two routes to knowledge: through statistics (correlation) or through deduction from a few axioms. (see also the paper Tre årsaker til urettferdigheter). Once again this might not be too surprising, but it is important to go into the details of the matter: What are the strength and weaknesses of each approach. This is what I tried to find out in my paper Against Correlation and some of my other papers on statistical hypothesis-testing. So far my suspicion is that the deductive/axiomatic approach often gives the best returns, but this is a very context dependent conclusion (i.e. depending on what you want to investigate).

3. Important
What makes some topics or conclusions important? Ultimately this is a value-judgement, but I think an insights is more important than others when it has the potential significantly increase the welfare of many people (i.e. quantity times quality). Of course, we disagree on what constitutes a better situation, but I am unsure about the extent of this disagreement. Surely, basic welfare, liberty, opportunities to use your abilities (self-realisation) (and many other values) all make up a part of what we think is a good life. Not all research has the same potential for improving the lives of people and I would like to concentrate on the research that has the largest potential.

With these grand words it is time to provide some concrete examples. Consider Jon Elster's words that "The basic postulate from which I start is that the goal of the social sciences is the liberation of man." (Jon Elster, Logic and Society (1978), p. 158).Once again, the proof of the pudding is in the details. For example, the idea of precommitment as a way to improve your situation (and the situation for a collective community) and research to become aware of the unconscious mechanisms that shape our desires and beliefs in order to avoid the mistakes resulting from these beliefs and desires. Elster's work is full of these very practical and important ideas (since they have the potential to improve the existing situation) and this is one of the reasons why I take such a keen interest in his work.

I shall use one more example to illustrate the difference between more and less important ideas. Consider an idea which will improve the efficiency of a factory. For example, a new way of organising the workforce. Now, consider another idea - for example new legal rules which sharpens the competitive environment for all firms. Assume that the consequence of this last idea is to increase the growth rate of the economy from 2 to 2.5%. The difference between the first and the second idea is that the first produces a one-time improvement, while the other idea gives a permanent higher growth rate. It seems to me that the second kind of ideas are most important since the consequences over time are so much greater. This, of course, does not mean that we should exclusively concentrate on research into the second kind of ideas. One-shot gains are important as well, but it is a question of degrees of importance. Consider the following: What activity gives the highest payoff - to read a book or attend a course which will enable you to read faster/learn better. Clearly, we should not spend all out time on only one activity (what is the point of being able to learn fast if you never spend any time on learning something!) Yet, the payoff from the second activity (learning how to learn) has, until a limit, the highest payoff.

4. Honest
A work is honest if the author openly admits its weaknesses and his doubts. For example, John Roemer openly admits in his book A Future for Socialism that "we do not have a definite solution to this problem [the problem of who is going to monitor the monitors of firms] " (p. 76). Jon Elster is also very good at admitting when he is wrong or on weak grounds. Why is this important? The most important reason is that we live in a second best world in which we have to trust each other to some extent. It is simply impossible to be an expert on everything. Nor is it possible to know the history of all the authors you read. Hence, when Jon Elster wrote an article on Constitutionalism in Czechoslovakia, he started by admitting that he did not know the language, nor was he an expert on the history of Czechoslovakia. This information is important for a person reading the article because it affects the way he should read the article. For example, my review of Richard Dawkins' book River out of Eden: A Darwinian View of Life is less authoritative than a review written by a person knowledgeable about biology. Thus, to avoid that people take my review more seriously than it is intended, I have to admit my limitations.

There is one problem with the discussion above: that the history of ideas should not be allowed to interfere with their evaluation. Simply knowing that I do not know much biology, does not entitle you to dismiss my review of Dawkins. The only proper way to attack an argument is by pointing to facts which are directly relevant to the truth-value of the argument. Thus, the arguments made by Elster in his article on Czechoslovakia cannot be dismissed by saying "He is no expert on the history of Czechoslovakia." Instead the reviewer has to point out exactly what is wrong with his arguments. I have read many arguments in which these two ways of arguing is confused. For example, Aasmund Egge argued that my review of his book was inspired by extreme-right wing American historians - a fact which is not relevant to the truth of my arguments. Another example is Brian Barry's review of G. A. Cohen's book in TLS. In this review, Barry argues that Cohen's individualistic approach is inspired by his membership in the September Group [a group of methodologically conservative but politically radical intellectuals] and that Cohen is inclined to neglect alternative meanings of self-ownership since he is "reluctant to have his fox [Nozick] shot" when it has "given him such good sport." This may or may not be true, but in a review I believe it is better to focus on the quality of the arguments, not their origins or the (here: subconscious!) motives of the author. The two are obviously distinct: The quality of an argument should assessed on its own and NOT (not even implicitly as I think Barry does with Cohen) be dismissed by pointing to its sources.

Well, if the history of ideas are irrelevant to their evaluation, why do we need to know the limitations of the author? To be honest, I need to think more about this, but I have a beginning of an answer. The stated limitations may point to where we should search in order to find mistakes and weaknesses. It may turn out that the limitations do not affect the quality of the arguments, but in a time-scarce world it is good if the authors are honest enough to guide the reader as to where they should search. Moreover, there may be some limitations which creates a relationship between the history of ideas and their reliability. In short, in an ideal world the two should be kept distinct, but given limited information and time I am willing to trust an author who I know more than an author which I do not know. Maybe the books of David Irving contains a few interesting insights, but the fact that he is obviously wrong about many things makes me more cautious when I read him than when I read Elster. Is this correct? Not in an ideal world, but given the limitations on the time available to me it might be a good strategy (defined in terms of which strategy would give me the most correct beliefs over a lifetime). Or?

In any case, in a review I am not allowed to use the source of ideas to judge its truth-value. I might use the source as a guide to its weaknesses and to how I should approach the book. However, in the final review only the arguments count, not its sources.

5. Well written
This criteria is rather obvious and does not deserve much elaboration. In this category I include structure, clarity and beauty of language. I also have to confess that I probably need to improve on this account. Although my writings are reasonably clear, there is much room for improvement in terms of grammar, punctuation and language. To give three examples: I should use more understatements (use words like weakness instead of flaw - see my apology to Aa. Egge); I should learn the English comma rules (!); and I should end my schizophrenic switching between American and British English. This is partly a question of spending enough time on the papers, and partly a question of reading more good literature.

Not to be included?
There might be other criteria which should be included on the list above. For example, I often read, and sometimes I write this myself, that a book is good because it is stimulating or fruitful in generating further research. However, I am more and more convinced that these labels should be used less as a mark of quality. Anything can be fruitful and stimulating. A book which is stimulating for me can be utterly boring for another and there is no neutral criteria to distinguish the two. If one by fruitful means that the ideas in the book have many important consequences, then this is already covered by my criterion labelled "Important." Moreover, I do not want to make a trade-off between fruitfulness and reliability. It is easy to conceive of some fantastic idea which might be very stimulating, but the idea and the thoughts it generates may be totally unreliable. No, I agree with Jon Elster who writes that what we need is not exciting conclusions, but reliable conclusion. If it is surprising this is an additional bonus.

Lastly, I am unsure about two things. First, whether there might still be some criteria which I have forgotten (and which does not fit into my five categories). Second, whether the criteria allow for trade-offs or if there is some lexicographic internal hierarchy. For example, imagine the a choice between two books - one which is highly reliable, moderately surprising but not very important and another which is moderately reliable, highly surprising and very important. It seems to me that the second book would be worth reading before (or instead of) the first. However, I am also deeply reluctant to trade reliability (truth) with some of the other criteria. Maybe there should be some kind of complicated weighting system in which reliability was given a large but not exclusive role.

Overall
Where does this leave me? In order to better fulfil the above criteria, I shall - for a trial period - write two versions of my papers. The first week shall be a draft, the second week I shall try to improve the draft. In this way I shall force myself to think consciously about the above criteria. It will reduce the quantity of papers, but I hope it will improve the quality.




Addition 16. April, 1997:
A confused and abstract addition!

I read a couple of ariticles in Apollon (A magazine distributed by the Univerity of Oslo) which convinced me that I am partially wrong when I insist that a work should have important implications (criterion 3) in order to be judged worthy of publication. The argument goes as follows: There is - and must be because of scarcity of time - a certain division of labour within science (social science as well as natural science). Thus, for the group it might be worthwhile to make one person to spend much time on what looks like a "small" or unimportant question. If we all behaved like isolated individuals - only focusing on the questions with "big" implications - this might produce a collectively worse result than if some people are directed to the small question. (Also: Some small questions may turn out to have important implications, a fact we can only know after research has been conducted - research none will do if they individually only choose the big questions). So, practical limitations means that it is worthwile for some to concentrate on apparently small questions with few important implications.

The second point I want to add, is that I am still uncertain about the rejection of fruitfulness as a criteria. I admit that I find some models more fruitful than others (in terms of raising questions for further research). However, I also remember an article by Jon Elster with some relevance to this question. Some people might find that taking a bath gives them good academic ideas. Others might find that a certain frame/model/structure is fruitful in generating ideas. Maybe it is valuable to create such frames, but, as the example with taking a bath shows, there is no limit to what can be considered "fruitful." The source of creativity is personal. Thus, I am still reluctant to include fruitfulness as a criteria, but I am uncertain. Maybe people are quite similar so that we are inspired by the same things? In this case it would be valuable to presents frames/models which opens up the creativity of many people.

Sources:
1. An issue of Appollon (late 1996 or early 1997) with several articles on good/bad science. I was particularely inspired (!) by an interview with Dagfinn Føllesdal)
2. Jon Elster, Høyre eller Venstre, Nytt Norsk Tidsskrift (a critique of an article by Hanne Haavind)


[Note for bibliographic reference: Melberg, Hans O. (1997), The criteria for good academic work - 1996: My aim and the year in review http://www.oocities.org/hmelberg/papers/970303.htm]