A radical relational agency: Foucault, complexity theory and environmental resistances
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The aim of this thesis is to examine a radical relational agency, applied to contemporary environmental resistances, that incorporates both the thought of Michel Foucault and complexity theory. While Foucault’s thought, following from his argument that power is a relation, implies a relational agency, it does not, however, account for the agency of nonhumans and environments. Because power is a relation and not a possession, it can no longer be viewed as an attribute of individual subjects. Similarly, a relational agency is defined as an aspect of power relations. Complexity theory, on the other hand, acknowledges that humans interact with nonhumans and environments, but does not acknowledge that all relations are relations of power. In addition to Foucault’s explanation of power relations, complexity theory explicitly describes the processes of self-organization through which individual and diverse agents interact and change can emerge. Thus, a radical relational agency is defined as an aspect of the power relationships between many diverse agents. Change, according to both Foucault and complexity theory, happens nonlinearly. As a result, it often occurs unpredictably. However, change within complex systems is also limited by previous historical emergences. In this sense, both possibility and risk are inherent in the relationships between humans, nonhumans and environments. Indeed, I argue that a radical relational agency occurs because there are both possibilities and risks generated within ecological relations and relations of power. Therefore, I argue that any environmental action must account for the unpredictability inherent to the complex interactions between humans, nonhumans and environments.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it