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
Rodney Wai-chi Chu, Leopoldina Fortunati, Pul-Lam Law, and Shanhua Yang, eds., Mobile Communication and Greater China Review by Daniele Massaccesi Pui-Lam Law, ed., New Connectivities in China: Virtual, Actual and Local Interactions Review by Emiliano Treré Cara Wallis, Technomobility in China: Young Migrant Women and Mobile Phones Review by Regine Buschauer James Fallows, China Airborne: The Test of China’s Future Review by Liz Millward Katherine Boo, Behind the Beautiful Forevers: Life, Death and Hope in a Mumbai Undercity Review by Chandra D. Bhimull Rila Mukherjee, ed., Pelagic Passageways: The Northern Bay of Bengal Before Colonialism Review by Debojyoti Das Jamal J. Elias, On Wings of Diesel: Trucks, Identity and Culture in Pakistan Review by Tracy Nichols Busch Arundhati Roy, Walking with the Comrades Review by Anindyo Roy Ruchira Ganguly-Scrase and Kuntala Lahiri-Dutt, eds., Rethinking Displacement: Asia Pacific Perspectives Review by Carmelo Buscema
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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