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 develop a classification scheme of systems of exchange using concepts from network analysis, economics, and cultural sociology. This classification illustrates that the “free market ” is but one possible type of economy and that other types are not best understood as imperfections. This classification helps to distinguish analytically among qualitatively different types of exchange arrangements and suggests bases from which to develop theories about the organization of markets and exchange systems of various types. Thirty years ago, organization theorists fo-cused largely on the internal organization of firms and other bureaucratic structures. In re-cent years, however, they have turned increas-ingly toward trying to understand the economic context within which firms operate. Prompted especially by the development of networked markets in Asia, organization scholars have rec-ognized that market organization, not only firm organization, is a crucial factor in explaining the activities and character of firms and other economic actors. When organization analysts turned toward the examination of markets, the prevailing con-ceptualization of a market came from econom-ics. Being a parsimonious construct, the eco-nomic idea of a market failed the needs of many empirically oriented organization analysts, par-ticularly those rooted in anthropological and so-ciological traditions. Subsequently, in a flurry of writings, scholars promoted alternative ways of conceptualizing market organization. Two sets of ideas about the nature of markets emerged. One conceptualizes markets as structures of so-cial relations and focuses on the organization of market roles into status hierarchies and net-
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 | 0.001 | 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 | 0.000 | 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