Not for Citation Without Permission of the Authors
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
This paper uses new microdata to examine competing explanations of the current crisis in Thailand. The paper presents the survey results of 1200 manufacturing firms interviewed in the last quarter of 1997 and the first quarter of 1998. The evidence shows that firms responded to the incentives generated by poor policies and built up increasingly vulnerable positions. Firms had risky financial positions, financing long-term investment with large amounts of short-term debt and sometimes with open foreign exchange positions. Before the onset of the crisis, profits were declining yet investments kept growing. By 1996 there was a tremendous increase in investment, but all too often in the `wrong capital stock'. The paper also examines firm reactions to the crisis and the constraints they face in the recovery period. Firm responses show only weak support of a credit crunch story; restricted access to credit is dwarfed by the inability to sell goods due to the fall in demand. Firms also report significant structural impediments to an export-led recovery
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 | 0.001 |
| 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 | 0.000 |
| 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