Bibliographic record
Abstract
Government regulators and researchers in Taiwan (Republic of China) express optimism about their country's economic success in its transition from a traditional society to a first world, industrialized nation. But this economic success, as measured by the standards and ideology of globalization, also has a dark side for many ordinary workers, especially Taiwan's 300,000 foreign workers. The promise of growth and future prosperity is conditional upon global economic practices and an adherence to a science-technology ideological perspective that shapes political content. Multiple centers of opposition and critical thinking have no public presence in Taiwan; nor do organizational defiance and resistance by trade unions. Instead, individuals and small human rights groups seek to reveal areas of human degradation and suffering in a response to poverty and the American dream. Meanwhile, the dominant ideological perspective as articulated by globalism seeps into and directs all public policy on the work environment so that it is coherent with the neoliberal political agenda of multinational corporations. This direction is being questioned by students of the work environment and by labor activists in North America, who report the deterioration of working conditions and worsening of government regulatory instruments for protecting workers from physical, mental, and social risk and harm in the workplace.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.008 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".