Questioning Centralized Organizations in a Time of Distributed Trust
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
Imagine meeting a stranger and entering into a trusted economic exchange without needing a third party to vouch for you. What changes in your theoretical perspective in such a world? That model of interaction is what distributed trust technologies such as blockchain bring. I introduce the basic concept of distributed trust, describe some early instances, and highlight how organizational theories need to be updated to no longer rely upon fundamental assumptions about trust which are becoming outdated. Distributed trust fundamentally transforms boundaries of organizations and challenges assumptions about internalizing organizational functions to overcome market trust coordination issues. Implicit assumptions about the legitimacy and power of central network positions no longer ring true. This is very fertile ground for organizations research as the core tenet of the field—what roles and functions should group together within an organization—is being called into question at the most fundamental level.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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