“I Think You Think I Think You're Lying”: The Interactive Epistemology of Trust in Social Networks
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
We investigate the epistemology of trust in social networks. We posit trust as a special epistemic state that depends on actors' beliefs about each others' beliefs as well as about states of the world. It offers new ideas and tools for representing the core elements of trust both within dyads and larger groups and presents an approach that makes trust measurable in a noncircular and predictive, rather than merely postdictive, fashion. After advancing arguments for the importance of interactive belief systems to the successful coordination of behavior, we tune our investigation of trust by focusing on beliefs that are important to mobilization and coordination and show how trust functions to influence social capital arising from network structure. We present empirical evidence corroborating the importance of higher-order beliefs to understanding trust and the interactive analysis of trust to the likelihood of successful coordination. This paper was accepted by Jesper Sørensen, organizations and social networks.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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