Private Legal Orders: Professional Markets and the Commodification of Financial Governance
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
Notwithstanding recent paradigmatic shifts from regulation as a state function to governance as an emergent property of interorganizational networks, conceptions of economic ordering in socio-legal studies remain rather short-sighted. In part, this theoretical myopia stems from a tendency to conceive of economic ordering in terms of a normative project cast at a macro level of analysis and rooted in the activities of formal institutions and state bodies. What has been overlooked in these accounts is the role played by professional groups in the enactment and legitimation of localized modes of economic ordering. This article seeks to remedy this oversight through an analysis of one particular form of professional labour that has emerged as a key factor in the arbitration of economic disputes and the management of corporate disorder: the forensic accounting and corporate investigation (FACI) industry. By defining this industry in terms of a market in professional services and then exploring the contributions of this market to the production of ‘private legal orders’, this analysis sets the stage for a more sophisticated view of economic ordering in capitalist market economies, one which is rooted in the knowledge work of professionals labouring on the margins of law, politics, and business.
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 | 0.001 | 0.001 |
| 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