> For the complete documentation index, see [llms.txt](https://docs.contributionism.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.contributionism.io/comparisons-limitations-and-open-questions/evidence-assumptions-and-research-priorities.md). # Evidence, assumptions and research priorities Contributionism includes ethical commitments, theoretical arguments and empirical predictions. These should be distinguished so that readers understand what is being proposed, what follows from a model and what has been demonstrated. ## **Ethical commitments** Examples include the view that: * Comparable contributions should receive consistent treatment. * Historical ownership should not automatically determine every future reward. * Contributors should be protected against arbitrary changes. * Authority should be accountable. * Organisations should respect those affected by their activities. These are normative commitments. Evidence can inform their application, but it cannot establish them solely through a financial calculation. ## **Theoretical propositions** Theoretical propositions concern how arrangements are expected to behave. Examples include: * Expiring rights can reduce the relative weight of historical allocations. * Contribution-linked participation can broaden access to financial returns. * Separate financial and governance rights can target protections more precisely. * A growing number of new contribution units can change the distribution of control. These claims may follow under specified assumptions. Their relevance depends on whether those assumptions fit actual organisations. ## **Empirical predictions** Empirical predictions concern real-world outcomes, such as: * Improved retention. * Higher productivity. * Greater trust. * Lower inequality within organisations. * Better leadership accountability. * Reduced financing access. * Higher administrative cost. These require observation. The fact that a mechanism is intended to improve incentives does not demonstrate that it does so. ## **What illustrative models can establish** A spreadsheet or worked example can show: * Whether calculations reconcile. * How rights change over time. * How payments depend on parameters. * Whether an arrangement is financially plausible under stated assumptions. * Which groups benefit in a scenario. It cannot establish: * How contributors will behave. * Whether valuations will be accepted. * Whether investors will provide funds. * Whether legal disputes will arise. * Whether the organisation will outperform alternatives. The distinction should remain explicit. ## **Evidence from related models** Existing research on cooperatives, employee ownership, profit-sharing, participation and organisational governance can inform the proposal. However, findings should not be transferred uncritically. For example, evidence about employee ownership does not automatically establish the effect of expiring financial rights. Evidence about profit-sharing does not necessarily establish the value of contribution-weighted voting. The mechanism being tested must match the claim being made. ## **Priority 1: Define the minimum model** Research should first clarify what counts as a Contributionist arrangement. This includes: * Required rights. * Permitted financial limits. * Governance protections. * Treatment of fully compensated contributions. * Renewal. * Residual assets. * Existing obligations. A model cannot be evaluated consistently if its defining features change between examples. ## **Priority 2: Compare practical alternatives** Testing should compare complete arrangements rather than an ideal Contributionist design against an unusually poor conventional company. Relevant alternatives include: * A well-run conventional company with profit-sharing. * A worker cooperative. * An employee ownership trust. * A steward-ownership arrangement. * A contribution-linked organisation with minimal scoring. * A more detailed contribution-proportional organisation. The comparison should include administrative and financing costs. ## **Priority 3: Study valuation reliability** Research should examine whether different evaluators reach similar conclusions. Questions include: * Are assessments reproducible? * Are certain roles systematically undervalued? * Does additional detail improve accuracy? * How often do appeals change decisions? * Do contributors alter behaviour to improve scores rather than outcomes? A system that produces unstable valuations may be unsuitable for allocating large financial or governance consequences. ## **Priority 4: Test financing** Relevant questions include: * Which investors accept limited claims? * What returns and protections do they require? * Which business types are financeable? * Does repayment pressure increase failure risk? * Can claims be transferred at reasonable cost? * How are losses distributed? These questions are especially important for high-risk and capital-intensive activity. ## **Priority 5: Study long-term incentives** Short pilots may miss the effects of expiry. Longer observation should examine: * Distribution timing. * Reinvestment. * Leadership renewal. * Cohort conflict. * Treatment of former contributors. * Renewal of historical rights. * Organisational sale. The core proposal concerns change over time, so evidence must eventually cover that change. ## **Priority 6: Examine distributional effects** Research should report outcomes for different groups rather than only organisational averages. Relevant differences include: * Early and late contributors. * Full-time and part-time workers. * People with and without governance rights. * People able or unable to defer pay. * Visible and less visible roles. * Contributors who leave. A favourable average can conceal systematic disadvantage. ## **Standards for evidence reporting** Reports should disclose: * The actual arrangement used. * Its legal context. * The sample and duration. * Missing data. * Changes during the study. * Conflicts of interest. * Negative findings. * Alternative explanations. The objective is not to validate the model at any cost. It is to identify which mechanisms are useful, under which conditions, and with which limitations.