Bibliographic record
Abstract
The mentioning of Hanoi – the capital city of Vietnam and the land of thousand years of civilization – depicts among both locals and tourists the image of the ‘Sword Lake’ with its ancient ‘Turtle Tower’ and the charming Old Quarter with its preserved shop-houses lying along small ancient commercial alleys. The houses in the old quarter constructed over a century ago which feature tube houses with inclined tile roofs and a blend of French architecture create the infusions of history and memory. One can easily find abundant research done on these townhouses, either in the collectibles of many authors, the quintessential drawings of talented painters, or in publications on the history of the Old Quarter. Among these, the recent work by Vuong et al. (2019) adds an extremely interesting view of the architectural features of Hanoi’s ancient townhouses as these features are viewed as dependent and independent variables. The study titled ‘Cultural evolution in Vietnam’s early 20th century: A Bayesian network analysis of Hanoi Franco- Chinese house designs’ aims to find traces of cultural evolution in the early 20th century in Vietnam and highlight the most notable elements that affect the Vietnamese people’s perception of cultural evolutions.
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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 | 0.015 | 0.049 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".