Globalization, the Restructuring of Labour Markets and Policy Convergence
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
This article investigates the relationship between globalization and labour market reform by examining the Organization for Economic Co-operation and Development's (OECD's) ‘Jobs Strategy’. It has been argued that globalization requires, and the competitive forces unleashed by that process require, the national adoption of more flexible, market-based, or ‘neoliberal’ labour market policies or states will face declining labour market performance. Thus, the globalization thesis posits convergence in labour market policies around an emerging neoliberal norm. Through an examination of the Jobs Strategy and the empirical data collected by the OECD, this article reaches several interrelated conclusions. The evidence suggests little sign of sustained convergence in labour market policies. According to the OECD's analysis, many states have been reticent to adopt neoliberal labour market strategies. Secondly, there is good reason for non-convergence: states that have adopted a liberal strategy, as a group, have not performed particularly well. Despite globalization, there is a range of labour market policy choices available to states. Several welfare state labour market strategies continue to exist.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| 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