The Reflection of Contemporary Chinese Social Mentality via Internet: A Content Analysis of Comments from the Pray-for-blessings Website
Bibliographic record
Abstract
This research made a content analysis of comments from a pray-for-blessings website after the 2008 Sichuan Earthquake happened. Contemporary Chinese social mentality is supposed to be reflected by the results. It explores that most netizens wrote the comments in the National Mourning Day. The contents of these comments are divided into 13 species: pray for the disaster areas, pray for China, pray for the rescuers, pray for others, group cohesion, suggestions, love, sympathy, questioning the China Seismological Bureau, appreciation, information of earthquake, schadenfreude, uselessness of praying. Although there was some negative emotion as schadenfreude and some complains appeared, the whole was positive. The source of negative ones may be from high expectation of China Seismological Bureau and dissatisfaction of the society. Theism and antitheism both existed, there was more theism in the pray-for-blessings, however, antitheism was the primary. In all, the whole country is in the social mentality of the all-concerned, comity, love, cooperation, and advocation of science.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".