Theory of Scientific Frameworks

A meta-theoretical framework for understanding how scientific frameworks themselves operate, evolve, and interact. The Theory of Scientific Frameworks argues that frameworks are not neutral containers for scientific work but active shapers of what science can see and say. It examines how frameworks emerge (from combinations of theoretical insight, methodological innovation, institutional support, and social conditions), how they stabilize (through training, funding, publication, and reward systems), how they change (through crisis, anomaly, generational turnover, and external pressure), and how they interact (through competition, synthesis, or incommensurability). The theory draws on Kuhn's work on paradigms but extends it to include the social, institutional, and political dimensions that Kuhn acknowledged but didn't fully develop. It also incorporates insights from science studies, critical theory, and epistemology to provide a comprehensive account of how science is framed—and how those frames shape what we know. The Theory of Scientific Frameworks is the foundation for understanding science not as a pure pursuit of truth but as a human enterprise with all the complexity, contingency, and politics that entails.

Example: "She applied the Theory of Scientific Frameworks to understand why her interdisciplinary work kept being rejected. The theory showed her that she was trying to work between frameworks—each with its own assumptions, methods, and standards. No single framework could evaluate her work because it participated in multiple frameworks simultaneously. Understanding this didn't get her published, but it saved her from thinking the problem was her work rather than the frameworks themselves."

by Abzugal March 9, 2026

Theory of Personal Sciences

The theory that everyone sees science, the scientific method, epistemology, and related matters through the lens of personal paradigms, personal opinions, political views, worldviews, and individual experience. There is no view-from-nowhere science; there is only science-as-seen-through-particular-eyes, shaped by particular experiences, serving particular interests. The Theory of Personal Sciences doesn't deny that science produces reliable knowledge; it insists that our access to that knowledge is always personal, always situated, always partial. Two scientists can look at the same data and see different things because they bring different personal frameworks to the viewing. Science is universal in aspiration; personal in practice.

Example: "They looked at the same study and drew opposite conclusions. The Theory of Personal Sciences explained why: each brought their own framework, their own assumptions, their own values to the reading. The science was the same; their personal sciences were different."

by Dumu The Void March 10, 2026

Sociology of Science

A subfield that studies science not as a pure, objective pursuit of truth, but as a human social activity. It examines how scientists are influenced by their social backgrounds, institutional pressures, funding sources, and cultural biases. It asks not "Is this theory true?" but "Why did this theory become accepted in this particular community at this particular time?" It’s the study of the lab as a tribe, the academic paper as a ritual, and the scientific consensus as a social phenomenon.

Example: "He thought the scientific consensus was purely about data, but the sociology of science reveals it's also about grant money, academic prestige, and who shouts loudest at conferences."

by Dumu The Void March 11, 2026

Sociology of the Scientific Method

A focused branch of the sociology of science that investigates the "scientific method" itself as a social construct and a set of evolving norms. It looks at how the idea of what counts as "good science" changes over time and varies between disciplines. Who decided that double-blind studies are the gold standard? Why did certain methods become marginalized? It treats the rulebook of science as a living document written by a specific community, not a holy text handed down from on high.

Example: "The psychology field's 'replication crisis' is a perfect case study for the sociology of the scientific method, showing how its own cherished rules for 'proof' sometimes fail."

by Dumu The Void March 11, 2026

AI Applied to Social Sciences

The use of artificial intelligence and machine learning as powerful new tools for social science research. This includes using large language models to analyze centuries of text, employing computer vision to study non-verbal behavior in archived footage, or building agent-based models to simulate the spread of ideas or diseases through populations. It's the computational revolution coming for sociology and anthropology, offering the ability to find patterns in data too vast for any human researcher to process.

Example: "He used to spend years interviewing people; now with AI applied to social sciences, he just feeds millions of Reddit comments into an algorithm and calls it a day."

by Dumu The Void March 11, 2026

AI Applied to Human Sciences

The integration of artificial intelligence into the humanities disciplines like history, philosophy, literature, and art criticism. AI tools can now reconstruct damaged historical texts, analyze stylistic patterns across a corpus of literature to identify influences, or generate philosophical arguments for critique. It's both a blessing and a crisis for the humanities: a powerful new method of inquiry that also challenges the very definition of human creativity and interpretation.

Example: "The Shakespeare scholar used AI to prove the authorship question once and for all—a perfect example of AI applied to human sciences, and the English department hasn't forgiven him for it."

by Dumu The Void March 11, 2026

AI Applied to Cognitive Sciences

The use of artificial intelligence as a tool to model, test, and understand the human mind. By building computational models that perform cognitive tasks—recognizing faces, making decisions, learning languages—researchers can create and test theories about how our own cognition might work. If an AI model behaves like a human under certain conditions, it might suggest that the human brain is using a similar computational strategy. It's cognitive science's most powerful laboratory.

Example: "They weren't sure how children learn grammar until they used AI applied to cognitive sciences to build a model that learned the same way, confirming their hypothesis."

by Dumu The Void March 11, 2026