Social Networks in East and Southeast Asia I
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
These articles examine social networks in the context of Asia. Their pages contain numerous examples showcasing the primacy of social context in the patterning, accumulation, role, and value of social networks and social capital. Network characteristics follow from national and institutional characteristics: In China, kinship networks are prominent all throughout the life course. Meanwhile, guanxi continues to be an important factor in the labor market and academic success of Chinese individuals, despite the shift from socialism to capitalism. In Japan, mutual monitoring among kin and coworkers make for a society based on strong ties. In Korea, voluntary associations are important communal spaces for meeting diverse contacts. In China’s neighborhoods, cooperation between neighbors coexists with social control from above to reinforce social hierarchy. The issue ends with a note about the importance of cultivating guanxi in organizations and in everyday life.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it