Welfare Retrenchment as Social Justice: Pension Reform in Mexico
Bibliographic record
Abstract
Abstract This article analyses critically the applicability of current theories of welfare state retrenchment to the 2004 public pension reform in Mexico, with the 1995 reform acting as a complementary case. In particular, this article contributes to the literature by analysing the reasons for which a potentially unpopular reform was successfully enacted. Available evidence suggests that – contrary to the existing literature's assertions – Mexican politicians responsible for the 2004 reform sought credit for these changes, rather than to avoid blame. Also, by presenting the reform as necessary to enhance socioeconomic equality, politicians were able to gather substantial popular support and defeat labour unions opposing this pension restructuring process. Hence, we propose that by framing the public debate as a matter of social justice, promoters of pension reform increased significantly popular support for the retrenchment of important benefits from a core group of civil servants, and successfully pressured Congress to promulgate this reform. We suggest that this created a reform path that will facilitate future efforts at reforming the remaining public pension schemes in Mexico.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".