Critical Theory of Sciences

The plural form, recognizing that different sciences require different critical approaches—that a critical theory of physics will differ from a critical theory of biology, which will differ from a critical theory of economics. Critical Theory of Sciences is the project of developing field-specific critiques while maintaining the broader critical commitment to examining power, assumptions, and social relations. It's the recognition that critique must be tailored to context, that one size does not fit all, that each science has its own history, politics, and possibilities.

Example: "The conference brought together critical theorists from every discipline, each presenting field-specific analyses. The common thread was attention to power; the diversity was in how power operated in different contexts. Critical Theory of Sciences was proving to be many things, not one."

by Abzugal March 9, 2026

Critical Theory of Science Communication

The application of critical theory to science communication—examining how power, ideology, and social relations shape what science gets communicated, how it's framed, and to what ends. Critical Theory of Science Communication asks: whose interests does science communication serve? What assumptions are built into its forms? How might it be transformed to better serve democratic participation and social justice? It draws on critical theory, science studies, and communication theory to analyze and critique existing practices and to imagine alternatives.

Example: "He applied Critical Theory of Science Communication to the pandemic coverage, asking how communication had been shaped by political pressures, corporate interests, and institutional agendas. The coverage wasn't just information; it was politics. Understanding that was essential for knowing what to trust."

by Abzugal March 9, 2026

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