From <i>Indochine</i> to <i>Indochic</i>: The Lang Bian/Dalat Palace Hotel and French Colonial Leisure, Power and Culture
Bibliographic record
Abstract
Looking at an early picture of the French colonial hill station of Dalat circa 1925, one is struck by the centrality of an edifice around which the entire European resort seems to have been conceived. Completed in 1922, this monumental hotel, known at the time as the Lang Bian Palace (since rebaptized the Dalat Palace Hotel), was designed as a site of colonial leisure and power at the centre of Indochina's premier site of French villeggiatura, ‘discovered’ by Dr Alexandre Yersin in 1893, and earmarked for development into a hill station by the Governor General of Indochina, Paul Doumer in 1897–8. According to the geographer Robert Reed, the Lang Bian Palace ‘function[ed] almost immediately as the nerve center of proper Western colonial society in the highlands.’
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".