Bibliographic record
Abstract
This analysis of articles published in the International Journal of Business Anthropology during 2024 offers a glimpse of the research methods, contexts, and findings of the journal. Although the methods and content differ somewhat from the journal’s stated methods and focus, the articles provide a rich variety of studies of largely Asian and primarily Chinese anthropology which is now rebounding following the 1952-1979 silencing of anthropology and sociology in China as being a part of “bourgeois pseudo-science” (Malighetti 2019). As this sample of articles shows, anthropology is now alive and well in China, even though there is sometimes a subtext that may be read into articles that are ostensibly about another time and place. But this is real and sophisticated anthropology that is interesting and meaningful. It needs and deserves a broader set of readers and authors from adjacent fields focusing on less affluent consumers in Asia and elsewhere.
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 | 0.005 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.026 | 0.010 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.283 | 0.251 |
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".