Skip to main content
Log in

Growth of knowledge: dual institutionalization of disciplines and brokerage

  • Published:
Synthese Aims and scope Submit manuscript

Abstract

Normal science involves persistent collective application of an agreed research agenda. Anomaly can threaten normal science, but so too can “undue persistence” in that agenda by a normal science peer group. We consider how “undue persistence” might be a collective effect of the common incentive structure that individual members of the peer group typically face in relation to their careers. To understand how “undue persistence” might be ameliorated, we consider the affordances of a peer’s membership of a departmental collegium, organized on a different basis than the specialist peer group and hence able to supply the individual scholar with kinds of information and critical comment that may occasion off-agenda contributions to the specialty. The idea of brokerage is borrowed from the sociology of innovation to see how a scholar’s departmental colleagues might be able to broker new ways of thinking that can assist in the avoidance of “undue persistence”.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Notes

  1. Compare Steve Fuller, who said (1988, p. 3), programmatically, that

    The fundamental question of the field of study I call social epistemology is: How should the pursuit of knowledge be organized, given that under normal circumstances knowledge is pursued by many human beings, each working on a more or less well-defined body of knowledge and each equipped with roughly the same imperfect cognitive capacities, albeit with varying degrees of access to one another’s activities.

  2. See for example Kitcher (1990). The locus classicus is Kuhn (1970, p. 186).

  3. See the Google Scholar citations for Chubin and Connolly (1982) at https://scholar.google.com.au/scholar?cluster=2221477401454438821&hl=en&lr=&as_sdt=2005&sciodt=0,5.

  4. I believe my account is complementary, rather than an alternative, to any internalist account because, of course, anomalies, should they be independently definable, still have to be noticed and acted on. The “dynamics of research” which I try to identify can facilitate or at least disinhibit noticing and acting. My account also provides for off-agenda scholarly activity even in the absence of acknowledged anomalies, and this is a strength, in my view, because or insofar as some “novel” developments in the disciplinary specialties are indeed the result of the recombination of previously isolated ideas, rather than a response to “crisis”.

  5. As Daniel Alpert has pointed out (1985, pp. 250–251), any given department itself exists, relationally, in a dual institutionalization, with its “sister” departments in the same university, with which it may be bound in degree programs, funding arrangements, infrastructure support, and the like, and with its cognate departments at other universities, with which it may compete and cooperate in various ways.

  6. Indeed, on some accounts (see, especially, Jacobs 2013, pp. 27–28), this arrangement (of curriculum mapped onto collegium) is crucial for the viability of a discipline for at least two reasons. First of all, and locally, providing an attractive major for undergraduate students is the budgetary foundation of a department’s very existence in most university systems. Secondly, and globally, a discipline will be able reproduce itself only if it can train students according to a curriculum that will enable them, after further postgraduate study and research, to present themselves as fit to teach (elements of) that curriculum elsewhere. In any event, the work of the collegium as such will include (Hyland 2012, p. 24) “[e]veryday local practices of teaching, supervision, research, marking and committee work”.

  7. “Dynamics of research” associated with “scientific growth” in the so-called “rural” disciplines will of course reflect relevant differences. Where there is, as Becher puts it (1989, p. 157), a high problem to person ratio, or, as Whitley would say (1984, p. 88), a relatively low level of strategic or even functional dependence of one scholar on the work of others, there will, arguably, be less risk of collective persistence in “played-out” research approaches. The risk, in these situations, is, rather, that knowledge will grow, insofar as it does, by an accumulation of unorganized materials rather than through systematization, leading to profounder insight. Accordingly, the role of dual institutionalization in “tuning” the “dynamics of research” will be different.

  8. This, if you will, is one approach to the “fine structure” of Kuhn’s “normal science”, which he describes (1970, p. 24) as follows: “Closely examined, whether historically or in the contemporary laboratory, that enterprise seems an attempt to force nature into the preformed and relatively inflexible box that the paradigm supplies. No part of the aim of normal science is to call forth new sorts of phenomena … Instead, normal-scientific research is directed to the articulation of those phenomena and theories that the paradigm already supplies.”

  9. While there are significant differences between “rural” and “urban” disciplinary research specializations, there are some analogies which render some of the points to be considered applicable to some instances, anyway, of research activity in “rural” specialties. Consider, for example, what might be called “the Foucault phenomenon”, where, across a range of humanities and social science disciplines, literary, historical and sociological studies were, from the mid-seventies, increasingly preoccupied with broadly Foucauldian approaches, which became, if you will, more or less canonical, at least in certain circles. (Foucault’s work had, at mid July 2019, nearly 930,000 Google Scholar citations; his h-index was 288.) While there was no agreement, even in this situation, about researchable topics, and hence no “unproductive overconcentration” on a narrow list of such topics, there was widespread agreement on the approach to be taken to researchable topics and this may well have constituted an instance of “unproductive overconcentration”, especially in light of the tenuous grasp, by many participants in this phenomenon, of the actual techniques associated with Foucault’s own work.

  10. This particular analysis shows most clearly, I think, how the widely-discussed distinction between contexts of discovery and of justification does not, in any event, cleanly map onto a distinction between empirical (e.g. historical or sociological) analysis, on the one hand, and logical analysis, on the other hand. Referees, readers more generally, are making decisions about how well justified an argument or thesis is, and we can understand what they are doing, e.g. in applying epistemologically respectable standards of assessment, in a way that is empirically informed. For acute commentary on the discovery/justification dualism, see Paul Hoyningen-Huene (1987).

  11. Another threat to growth of knowledge sits at a right angle to the unproductive overconcentration that Chubin and Connolly have drawn attention to. This arises even, or perhaps even especially, when individual scholars are running minor variations on approved themes using approved tools, for even this activity requires a degree of “novelty” at least in the sense that the results reported are not already part of the agreed corpus of disciplinary or specialist knowledge. So, in particular, in pursuit of such novelty, within the constraints of conservative normal science, it appears—and the relevant studies are now numerous—that many scholars report results that cannot be replicated or reproduced by others. This is the so-called reproducibility crisis—worthy of examination in its own right. (See, for a good summary and references, The National Academies of Sciences 2019.).

  12. Geoffrey Brennan and Philip Pettit provide an important analysis (2004, p. 121): “It seems plausible that a system in which enquiry proceeds across a broad front may be superior to one in which all energy is directed at being the first to do what everyone else is trying to do. From the point of view of the system as a whole, it may be better to have scholars choose research agendas that are more speculative, and where the chance of each making a fool of herself (or simply wasting time, coming up empty-handed) are non-negligible. … In other words, the system as a whole can pool risks that individual scholars may well find daunting. On this basis, there is a problem: individual scholars may choose research agendas that are on average too conservative.”

  13. It is important, as a proviso, to understand that I am describing, in what follows, some of the affordances of the departmental seminar—some of the opportunities that, potentially, it makes available to the scholar. Whether those opportunities are exploited, however, depends on two other factors: (1) whether the collegium participates effectively, and (2) whether the scholar who is presenting has the will to take advantage of what the collegium offers. These are non-trivial assumptions.

References

  • Abbott, A. (1999). Department and discipline: Chicago sociology at one hundred. Chicago: University of Chicago Press.

    Google Scholar 

  • Abbott, A. (2001). Chaos of disciplines. Chicago: University of Chicago Press.

    Google Scholar 

  • Alpert, D. (1985). Performance and paralysis: The organizational context of the American research university. The Journal of Higher Education, 56(3), 241. https://doi.org/10.2307/1981734.

    Article  Google Scholar 

  • Arthur, W. B. (1994). Increasing returns and path dependence in the economy. Ann Arbor: University of Michigan Press.

    Google Scholar 

  • Becher, T. (1989). Academic tribes and territories: Intellectual enquiry and the cultures of disciplines. Milton Keynes & Bristol, PA: Society for Research into Higher Education and Open University Press.

    Google Scholar 

  • Blisset, M. (1972). Politics in science. Boston: Little, Brown and Company.

    Google Scholar 

  • Boudreau, K. J., Guinan, E. C., Lakhani, K. R., & Reidl, C. (2012). The novelty paradox & bias for normal science: Evidence from randomized medical grant proposal evaluations. Harvard Business School working paper, 13-053. Retrieved from http://nrs.harvard.edu/urn-3:HUL.InstRepos:10001229. Accessed 1 Dec 2014.

  • Bourdieu, P. (1975). The specificity of the scientific field and the social conditions of the progress of reason. Social Science Information, 14(6), 19–47. https://doi.org/10.1177/053901847501400602.

    Article  Google Scholar 

  • Brennan, G., & Pettit, P. (2004). The economy of esteem: An essay on civil and political society. New York: Oxford University Press.

    Google Scholar 

  • Brouthers, K. D., Mudambi, R., & Reeb, D. M. (2012). The blockbuster hypothesis: Influencing the boundaries of knowledge. Scientometrics, 90(3), 959–982.

    Google Scholar 

  • Burt, R. S. (1992). Structural holes: The social structure of competition. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Burt, R. S. (2004). Structural holes and good ideas. American Journal of Sociology, 110(2), 349–399.

    Google Scholar 

  • Chubin, D., & Connolly, T. (1982). Research trails and science policies. In N. Elias, H. Martins, & R. Whitley (Eds.), Scientific establishments and hierarchies. Dordrecht & Boston: D. Reidel Pub. Co.

    Google Scholar 

  • Collins, R. (1998). The sociology of philosophies: A global theory of intellectual change. Cambridge, MA: Belknap Press of Harvard University Press.

    Google Scholar 

  • Crane, D. (1972). Invisible colleges: Diffusion of knowledge in scientific communities. Chicago: University of Chicago Press.

    Google Scholar 

  • D’Agostino, F. (2012). Disciplinarity and the growth of knowledge. Social Epistemology, 26(3–4), 331–350.

    Google Scholar 

  • D’Agostino, F. (2016). Disciplines, the division of epistemic labor, and agency. In P. Reider (Ed.), Social epistemology and epistemic agency. London: Rowman & Littlefield.

    Google Scholar 

  • D’Agostino, F. (2019). The situational logic of disciplinary scholarship. In R. Sassower & N. Laor (Eds.), The impact of critical rationalism (pp. 45–57). Cham: Palgrave Macmillan.

    Google Scholar 

  • Elias, N. (1982). Scientific establishments. In N. Elias, H. Martins, & R. Whitley (Eds.), Scientific establishments and hierarchies. Dordrecht; Boston: Reidel Pub. Co.

    Google Scholar 

  • Foster, J. G., Rzhetsky, A., & Evans, J. A. (2015). Tradition and innovation in scientists’ research strategies. American Sociological Review, 80(5), 875–908. https://doi.org/10.1177/0003122415601618.

    Article  Google Scholar 

  • Fuller, S. (1988). Social epistemology. Bloomington: Indiana University Press.

    Google Scholar 

  • Gerber, L. G. (2014). The rise and decline of faculty governance. Baltimore, MD: Johns Hopkins University Press.

    Google Scholar 

  • Hamlyn, D. W. (1992). Being a philosopher: The history of a practice. London &, New York: Routledge.

    Google Scholar 

  • Hoyningen-Huene, P. (1987). Context of discovery and context of justification. Studies in the History and Philosophy of Science, 18(4), 501–515.

    Google Scholar 

  • Hyland, K. (2012). Disciplinary identities: Individuality and community in academic discourse. Cambridge: Cambridge University Press.

    Google Scholar 

  • Jacobs, J. A. (2013). In defense of disciplines. Chicago & London: The University of Chicago Press.

    Google Scholar 

  • Kerr, N., MacCoun, R., & Kramer, G. (1996). Bias in judgment: Comparing individuals and groups. Psychological Review, 103(4), 687–719.

    Google Scholar 

  • Kitcher, P. (1990). The division of cognitive labor. Journal of Philosophy, 87, 5–22.

    Google Scholar 

  • Kitcher, P. (2001). Science, truth and democracy. Oxford: Oxford University Press.

    Google Scholar 

  • Krishnan, A. (2010). What are academic disciplines? Some observations on the disciplinarity vs. interdisciplinarity debate. Retrieved from http://eprints.ncrm.ac.uk/783/. Accessed 15 Nov 2016.

  • Kuhn, T. S. (1970). The structure of scientific revolutions. Chicago: University of Chicago Press.

    Google Scholar 

  • Kuhn, T. S. (1977 [1959]). The essential tension: Tradition and innovation in scientific research? In The essential tension (pp. 225–239). Chicago: University of Chicago Press. (Originally published in C. W. Taylor (Ed.), The Third (1959) University of Utah Conference on the Identification of Scientific Talent, Salt Lake City, UT: University of Utah Press).

  • Lakatos, I. (1970). Falsification and the methodology of scientific research programmes. In I. Lakatos & A. Musgrave (Eds.), Criticism and the growth of knowledge (pp. 91–196). Cambridge: Cambridge University Press.

    Google Scholar 

  • Levitt, B., & March, J. G. (1988). Organizational learning. Annual Review of Sociology, 14(1), 319–340.

    Google Scholar 

  • Lewis, J. M. (2013). Academic governance: Disciplines and policy. New York, NY: Routledge.

    Google Scholar 

  • Longino, H. (2002). The fate of knowledge. Princeton: Princeton University Press.

    Google Scholar 

  • March, J. G. (1991). Exploration and exploitation in organization learning. Organization Science, 2, 71–87.

    Google Scholar 

  • Mulkay, M. (1977). The sociology of the scientific research community. In I. Spiegel-Rösing & D. de Solla Price (Eds.), Science, technology and society. London: Sage.

    Google Scholar 

  • Payne, J., Bettman, J., & Schkade, D. (1999). Measuring constructed preferences: Towards a building code. Journal of Risk and Uncertainty, 19, 73–106.

    Google Scholar 

  • Post, R. (2009). Debating disciplinarity. Critical Inquiry, 35(4), 749–770.

    Google Scholar 

  • Rosenwein, R. (1994). Social influence in science: Agreement and dissent in achieving scientific consensus. In W. Shadish & S. Fuller (Eds.), The social psychology of science. New York: Guilford Press.

    Google Scholar 

  • Roxa, T., & Martensson, K. (2009). Teaching and learning regimes from within. In C. Kreber (Ed.), The university and its disciplines. New York & London: Routledge.

    Google Scholar 

  • Star, S. L. (1995). Ecologies of knowledge: Work and politics in science and technology. Albany: State University of New York Press.

    Google Scholar 

  • Stegmüller, W. (1975). Structure and dynamics of theories. Erkenntnis, 9, 75–100.

    Google Scholar 

  • Sullivan, D. (1996). Displaying disciplinarity. Written Communication, 13, 221–250.

    Google Scholar 

  • Teece, D. (1998). Design issues for innovative firms: Bureaucracy, incentives and industrial structure. In A. Chandler, P. Hagstrom, & O. Solvell (Eds.), The dynamic firm: The role of technology, strategy, organization, and regions (pp. 134–165). Oxford: Oxford University Press.

    Google Scholar 

  • The National Academies of Sciences. (2019). Reproducibility and replicability in science. Retrieved from http://nap.edu/25303. Accessed 1 Mar 2019.

  • Toulmin, S. (1972). Human understanding. Princeton: Princeton University Press.

    Google Scholar 

  • Trowler, P., Saunders, M., & Bamber, V. (Eds.). (2012). Tribes and territories in the 21st century: Rethinking the significance of disciplines in higher education. London & New York: Routledge.

    Google Scholar 

  • Turner, S. (2000). What are disciplines? In P. Weingart & N. Stehr (Eds.), Practicing interdisciplinarity. Toronto: University of Toronto Press.

    Google Scholar 

  • Upham, S. P., & Small, H. (2010). Emerging research fronts in science and technology: Patterns of new knowledge development. Scientometrics, 83(1), 15–38.

    Google Scholar 

  • Wang, J., Veugelers, R., & Stephan, P. (2017). Bias against novelty in science: A cautionary tale for users of bibliometric indicators. Research Policy, 46(8), 1416–1436. https://doi.org/10.1016/j.respol.2017.06.006.

    Article  Google Scholar 

  • Weick, K. E. (1976). Educational organizations as loosely coupled systems. Administrative Science Quarterly, 21(1), 1–19.

    Google Scholar 

  • Wellmon, C. (2015). Organizing enlightenment: Information overload and the invention of the modern research university. Baltimore, MD: Johns Hopkins University Press.

    Google Scholar 

  • Wenger, E. (1998). Communities of practice: Learning, meaning, and identity. Cambridge: Cambridge University Press.

    Google Scholar 

  • Whitley, R. (1984). The intellectual and social organization of the sciences. Oxford: Clarendon Press.

    Google Scholar 

  • Woolgar, S. (1995). Representation, cognition, and self: What hope for an integration of psychology and sociology? In S. L. Star (Ed.), Ecologies of knowledge: Work and politics in science and technology. Albany: State University of New York Press.

    Google Scholar 

  • Zhou, K. (2002). Organization decision making as rule following. In Z. Shapira (Ed.), Organizational decision making. Cambridge: Cambridge University Press.

    Google Scholar 

Download references

Acknowledgements

My thanks to anonymous referees for a rigorous and helpful process of peer review. Thanks too to Professor Peter Høj, UQ Vice-Chancellor, for a period of leave during which the final versions of this paper were prepared. Thanks to Professor Peter Harrison for extending to me the hospitality of the UQ Institute for Advanced Studies in the Humanities. Thanks, finally, to Jerry Gaus, friend of the decades, whose own work has inspired my attempts to “naturalize” the accounts we offer of social knowledge-making. This work extends that, on the disciplines, already reported in D’Agostino (2012, 2016, 2019).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Fred D’Agostino.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

D’Agostino, F. Growth of knowledge: dual institutionalization of disciplines and brokerage. Synthese 198, 4167–4190 (2021). https://doi.org/10.1007/s11229-019-02335-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11229-019-02335-1

Keywords

Navigation