Bibliographic record
Abstract
This is a review of Kimberly Kay Hoang’s (2015) Dealing in Desire. Her ethnographic study observes four different bars in Ho Chi Minh City, Vietnam: 1) Kong Sao Bar, 2) Naught Girls, 3) Secrets, and 4) Lavender. Hoang traces different representations of the global financial sector after the 2008 financial crisis and explores the relationship between Asian ascendancy and Western decline. From the local to the international, interactions with clients and hostesses in the bars of Ho Chi Minh City demonstrate a new global trend: the rise in transactions occurring among a global financial sector undefined by traditional social structures (e.g., commercial or national banks). By moving from observer to participant, Hoang develops a deeper understanding of the capital and labour practices that these men and women engage in, highlighting how their everyday experiences demonstrate that nightlife in the city is a way for locals to move up the socio-economic ladder.
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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.036 | 0.012 |
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".