Implementing an insolvency framework for micro and small firms
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
Abstract Micro‐, small‐, and medium‐sized enterprises (MSMEs) represent the vast majority of businesses in most countries around the world. Despite the economic relevance of these firms, most insolvency jurisdictions do not provide adequate responses to MSMEs. Moreover, with a few exceptions, the academic literature on insolvency law has not traditionally focused on the treatment of MSMEs in insolvency. This article seeks to contribute to the debate by exploring the primary features and problems of MSMEs in insolvency as well as the weaknesses of the ordinary insolvency framework to deal with MSMEs. It also provides a general overview of the primary reforms and policy recommendations taking place around the world to deal with MSMEs in insolvency. The article concludes by suggesting several strategies to design an efficient insolvency framework for MSMEs.
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 | 0.001 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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