The Epistemic Pyramid Scheme: Circular Incentives, Technocratic Closure and Institutional Corruptibility

Abstract

Institutional corruptibility is commonly treated as a precursor to corruption: a weakness through which improper conduct may enter an otherwise functional organisation. This paper argues that corruptibility is more deeply produced by circular incentive structures. An institution becomes progressively and systemically corruptible when it defines its own value, rewards the production of its preferred indicators and then uses those indicators to validate the arrangements that produced them. Universities provide a particularly clear example. Academic authority, publication, citation, funding, rankings and institutional status increasingly form a recursive economy in which each element certifies the others. This paper calls that arrangement an epistemic pyramid scheme: a system in which epistemic value depends increasingly upon continued recognition by participants already positioned within the same hierarchy of authority. Digital metrics, research-management platforms, rankings and automated systems do not merely accelerate this closure. They implement it by translating academic life into administratively visible and commercially actionable data. The result is a selection environment that normalises metric optimisation, status competition and institutional self-preservation while weakening independent judgement, criticism and external correction.

1. Institutional corruptibility

Institutional corruption does not require bribery, illegality or consciously corrupt individuals. It can emerge when legitimate institutional practices and dependencies progressively divert an organisation from its public purpose while preserving its formal authority and appearance of legitimacy (Lessig, 2013; Thompson, 2018).

Corruptibility begins when an institution becomes responsible for defining, producing and validating its own value. The institution determines what counts as success, allocates rewards to those who produce the accepted signs of success and then presents those signs as evidence that its own arrangements are effective. It becomes contestant, referee, scorekeeper and prize-giver.

The problem is not simply hypocrisy. It is structural closure. Internal measures cease to test whether the institution is fulfilling its stated purpose and begin instead to organise behaviour around whatever the institution can recognise, count and reward. As the circuit closes, institutional reproduction becomes increasingly difficult to distinguish from institutional achievement.

Campbell’s law describes the general danger. When a quantitative indicator becomes important in decision-making, pressure grows to optimise, manipulate or otherwise corrupt the indicator, while the activity it was intended to represent is distorted around it (Campbell, 1979). Goodhart identified the same problem in economic management: once a measure becomes a target, its relationship to the underlying reality deteriorates because behaviour reorganises around the measure itself (Goodhart, 1984). Measurement does not remain external to conduct. It reorganises conduct.

2. The university as an epistemic pyramid scheme

Universities demonstrate value largely by producing knowledge that universities themselves classify as valuable. They appoint experts, accredit disciplines, recognise journals, allocate grants, count citations, confer qualifications and promote those who succeed according to these arrangements. The resulting outputs are then used to demonstrate the quality of the institutions that created the evaluative system.

Academic publishing completes the circuit. Universities and public agencies fund much of the research. Academics write the papers, review submissions and perform substantial editorial labour. Journals confer prestige upon the research, while universities confer prestige upon the journals by using their reputations in hiring, promotion, funding and evaluation. Academic authority produces journal value; journal value produces academic authority.

This is an epistemic pyramid scheme: an institutional arrangement in which epistemic authority is recursively generated and validated by participants already recognised within the same hierarchy, so that continued recognition by later participants becomes a principal source of present value.

The term does not imply that academic knowledge is fraudulent or that individual scholars lack expertise. It identifies the circular architecture through which value is established. Authority generates publication. Publication generates citations. Citations support funding and promotion. Funding and promotion generate institutional status. Institutional status confers authority. Each stage derives value from the continued reproduction of the stages above and below it.

Journal rankings make this circularity particularly visible. Willmott argues that the use of journal lists can constrict scholarly diversity and innovation by encouraging researchers to shape work around the requirements of highly ranked outlets rather than the intellectual demands of the subject itself (Willmott, 2011). Publication then becomes not simply a means of communicating knowledge but a token within a status hierarchy.

The system is not wholly closed. Universities still encounter external realities, produce valuable knowledge and sustain serious inquiry. The problem is that their formal measures of success increasingly arise from relations that the same institutional system creates and benefits from. Publication volume signifies productivity because publication is rewarded. Journal prestige signifies quality because institutions have agreed to treat particular journals as prestigious. Citations signify influence because employment, funding and visibility have already been organised around citation.

The system demonstrates its value by producing the objects it has defined as valuable.

3. Technology as the implementation of circularity

Technological systems do not merely accelerate these incentives. They increasingly implement them.

Bibliometric databases, citation indexes, research-management platforms, digital rankings, performance dashboards and automated reporting systems translate academic work into comparable units. Their apparent neutrality conceals a powerful institutional effect: whatever cannot be rendered as structured data becomes less visible to management, while whatever can be counted acquires administrative reality.

These systems do not need to issue explicit commands. They establish the environment within which consequential decisions are made. A publication appears in a database; a citation count rises; a grant is recorded; a ranking changes; a performance profile is generated. Careers, resources and reputations then move in response.

Technocratic overreach occurs when this partial representation of academic life begins to govern the whole. Intellectual judgement is displaced by indicators of judgement. Quality becomes journal position. Influence becomes citation. Social contribution becomes impact documentation. Inquiry becomes a sequence of administratively legible outputs.

This displacement is documented in research on higher-education management. Spence (2019) argues that universities increasingly privilege an instrumental ethos of measurement over professional judgement, allowing journal rankings, citation measures and performance systems to shape research and teaching around what can be readily counted and reported. Metrics can support judgement, but when they replace it, the technical representation of academic value begins to govern the activity it only partially describes.

The technological system is itself structurally corruptible because those who design, purchase and govern it also influence which activities it makes visible. Once embedded, its categories become difficult to contest. Administrators can present its outputs as objective facts, while the assumptions that produced them disappear into software, procedures and routine use.

Technology thereby stabilises circular incentives. The university defines valuable outputs; technical systems count those outputs; managerial structures distribute rewards according to the count; and the resulting behaviour produces more of what the technical system was designed to recognise. The measure, institution and infrastructure recursively confirm one another.

4. Perverse incentives and institutional selection

The consequences do not require widespread dishonesty. Incentive structures select practices before they select people.

Research that produces novel, clear and publishable findings is often easier to reward than replication, negative results, methodological caution or extended uncertainty. Researchers and departments that repeatedly produce recognised outputs gain employment, grants, students and authority. Their practices then propagate because they appear institutionally successful.

Smaldino and McElreath demonstrate how competitive selection can favour poorer research methods when those methods produce more publishable findings, even without deliberate fraud. Successful laboratories reproduce their methods through prestige, hiring and training, allowing unreliable practices to proliferate because they are productive under the prevailing incentives (Smaldino and McElreath, 2016). Grimes, Bauch and Ioannidis similarly model how publish-or-perish pressures can degrade scientific trustworthiness (Grimes, Bauch and Ioannidis, 2018).

Commercial and status incentives gradually become normative because participation increasingly depends upon accepting them. Researchers may enter universities to investigate difficult questions, teach or contribute to public knowledge. They nevertheless encounter a rat race organised around grants, publication frequency, prestigious affiliations, citation, visibility and advancement. These are initially presented as imperfect proxies for achievement. Over time, they become the practical meaning of achievement.

The status hierarchy intensifies the problem. Systems organised around prestige, money, influence and authority attract people strongly motivated by prestige, money, influence and authority. Like moths to a candle, personalities inclined towards opportunism, aggressive self-promotion or extraction are drawn towards environments in which those dispositions can be converted into institutional advantage.

This is not an argument that ambition is inherently corrupt or that universities are dominated by a single personality type. It is an argument about differential selection. A system repeatedly rewarding reputational management, metric performance and commercial alignment will increase the relative institutional fitness of those behaviours. Collegiality, criticism, intellectual honesty and public service remain possible, but they become comparatively weak strategies whenever they obstruct measurable performance.

The institution gradually begins to resemble the behaviours its incentive structures preserve.

5. Why direct reform so often fails

Once circular incentives are established, direct interdiction achieves little. Removing a badly behaved individual does not alter the relations that made the behaviour adaptive. Another person or practice can occupy the same position because the reward structure remains intact.

Internal reform is similarly vulnerable. Universities respond to criticism through reviews, committees, consultations, reporting systems and additional metrics. These interventions may be well intended, but they are often administered by the same structures whose assumptions are in question. Reform becomes another output to document, assess and certify.

The institution can then produce evidence of reform without surrendering control over what reform means. This is the final turn of the epistemic pyramid scheme: the system validates not only its knowledge and performance but also its own correction.

The situation is not irredeemable, but it is increasingly resistant to meaningful external correction. Technical infrastructure, career dependence, commercial relationships and status hierarchy create constituencies invested in continuity. What appears from outside as an obviously dysfunctional arrangement persists because many local decisions remain rational within it.

Conclusion

Circular incentives are the kernel of institutional corruptibility.

An institution becomes systemically corruptible when it defines its own value, controls the means through which that value is measured and rewards those who reproduce the resulting indicators. Universities demonstrate this dynamic with unusual clarity because epistemic authority, publishing, citation, funding and institutional prestige operate as a mutually validating circuit.

The epistemic pyramid scheme is not sustained by universal dishonesty. It is sustained by participation. Scholars, administrators, publishers, funders and technical systems each reproduce part of the arrangement, often while acting reasonably within their immediate circumstances.

Technology has intensified this closure by implementing its incentives in databases, rankings, dashboards and automated systems of comparison. These infrastructures make institutional priorities operational. They convert partial measures into governing realities and then present the behaviour produced by those measures as evidence of objective performance.

The remedy is not another internal indicator of integrity. It is the interruption of circular validation. Universities require protected dissent, materially independent evaluation, reduced dependence upon proxy metrics and meaningful separation between those who benefit from institutional arrangements and those who assess them. Intellectual judgement must retain authority over the systems designed merely to support it.

Otherwise, reform becomes one more publication, framework, dashboard or declaration through which the institution demonstrates—according to criteria it has written for itself—that it has successfully corrected itself.

References

Campbell, D.T. (1979) ‘Assessing the impact of planned social change’, Evaluation and Program Planning, 2(1), pp. 67–90.

Goodhart, C.A.E. (1984) ‘Problems of monetary management: The UK experience’, in Courakis, A.S. (ed.) Inflation, Depression, and Economic Policy in the West. London: Mansell, pp. 111–146.

Grimes, D.R., Bauch, C.T. and Ioannidis, J.P.A. (2018) ‘Modelling science trustworthiness under publish or perish pressure’, Royal Society Open Science, 5, 171511.

Lessig, L. (2013) ‘“Institutional corruption” defined’, The Journal of Law, Medicine & Ethics, 41(3), pp. 553–555.

Smaldino, P.E. and McElreath, R. (2016) ‘The natural selection of bad science’, Royal Society Open Science, 3, 160384.

Spence, C. (2019) ‘“Judgement” versus “metrics” in higher education management’, Higher Education, 77(5), pp. 761–775.

Thompson, D.F. (2018) ‘Theories of institutional corruption’, Annual Review of Political Science, 21, pp. 495–513.

Willmott, H. (2011) ‘Journal list fetishism and the perversion of scholarship: Reactivity and the ABS list’, Organization, 18(4), pp. 429–442.