Bibliographic record
Abstract
This paper highlights the many risky partnerships that both state and private actors have entered into as a means to resuscitate the Lao economy and revitalise the image of the ruling Lao People's Revolutionary Party. In 2023, Laos aligned itself within the Russian orbit, while also bolstering its engagement with China. Having taken the gamble of conceding large sections of land for SEZs and plantation scale contract farms, the Lao state has run short of options on ways to create sufficient revenue to successfully lead the country out of LDC status. Consequently, a number of dubious enterprises have risen to the fore as stopgap measures to steer Laos back to its pre-Covid-19 growth levels. At the same time the LPRP is seeking to regain its legitimacy by cultivating a new ideological basis and conducting a critical assessment of its members as a new generation takes charge.
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How this classification was reachedexpand
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 | 0.010 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.009 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.001 | 0.006 |
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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".