Bibliographic record
Abstract
China Beat has just celebrated its one-year anniversary, and while a few of you have been with us since the beginning, the majority of our readers have tuned in somewhere along the way. For that reason, we thought it might be worth a little recap of who China Beat is and what we are about. In the spirit of brevity (of sorts), let’s do it as a top-five list… 1. China Beat is based in the U.S. (in Irvine, California, specifically) and while many of our contributors also hail from the United States, we also regularly publish pieces by writers based in China (like Zhang Lijia’s discussion of China’s death penalty), Australia (such as Geremie Barme’s interview about the torch relay), Taiwan (see Paul Katz’s regular blogging for “Tales from Taiwan”), Vietnam (see, for instance, Caroline Finlay’s piece on Vietnamese protests of the torch relay), Japan (such as James Farrer’s analysis of Japanese media coverage of the Olympics) , Canada (like David Luesink on the similarities between the Olympic preparations in Beijing and Vancouver) , New Zealand (like Paola Voici’s piece on “Big and Small Nationalisms”), Britain (Rob Gifford on Beijing architecture), and Israel (Shakhar Rahav’s piece on Olympic celebrations in Israel). 2. Uniquely for a blog, we draw on a wide and ever-changing group of contributors that range in background and expertise. We have published pieces by academics from graduate students in their first few years of study (for instance, Xia Shi, who wrote about the history of the Terracotta warriors) to university professors (the co-founders of the blog, Jeffrey Wasserstrom and Ken Pomeranz, are both faculty members in the history department at the University of California, Irvine) to the chancellor of a university (Daniel Little at University of Michigan-Dearborn, who wrote memorials for two scholars who passed away this year, Charles Tilly and Bill Skinner). We also regularly incorporate the works of journalists (such as James Miles on the Tibet riots), non-fiction writers (like Peter Hessler), and even a mystery novelist.
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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.014 | 0.007 |
| Scholarly communication | 0.015 | 0.007 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.008 | 0.013 |
| Insufficient payload (model declined to judge) | 0.057 | 0.015 |
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".