Bibliographic record
Abstract
Chimes jingle on gold-painted stupas and teenagers strum guitars to the beat of passing tuk-tuks in Luang Prabang, Laos’ UNESCO World Heritage sight nestled on the Mekong. Sadly, a more obtrusive rhythm has hit the scene: the squawk of walkie-talkie phones. Like a large percentage of Lao’s motorbikes, clothes and electronics, the walkie-talkie phones are a Chinese import, strapped to the belts of the increasingly numerous Chinese tourists visiting Luang Prabang, famous for its now fragile serenity. China has begun to re-establish ties with sparsely populated Laos, which has historically aligned with Indochina War ally Vietnam. The Chinese have made a number of gestures to the Lao people – they have built a highway linking Yunnan to Thailand, are working on a sports complex for the 2009 SEA Games, and are involved in a hydroelectric project in Vientiane province. But it’s not without a measure of self-interest. The new highway links China with the Thai market, eliminating the need to ship down the twisting and increasingly shallow Mekong, while the Chinese have been awarded a large and controversial land concession in Lao’s capital Vientiane in return for enabling Laos to host Southeast Asia’s largest sporting event. In Luang Prabang, a Chinese-funded airport upgrade is planned to begin in early 2009, and NGOs and tourists alike are concerned that the roar of jet engines will be the new background to their riverside sunsets. According to an Asian Development Bank (ADB) report [1], Luang Prabang’s airport “is not compliant with ICAO [International Civil Aviation Organization] safety and security standards for current operations,” and the Laotian government is “interested in upgrading the runway… to support the operation of B737 and A320 aircraft.” The project is expected to boost tourism by 125 percent in the first three years, provide Lao laborers with income, compensate and resettle those on land required by the project, and include a gender and HIV/AIDS awareness program. Construction will be funded by China EXIM Bank at $63.2m, while the Laotian government has pledged $20.4m for the other programs, including resettlement.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.053 | 0.005 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".