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Record W2119632180 · doi:10.1017/s0047279407001195

Welfare Retrenchment as Social Justice: Pension Reform in Mexico

2007· article· en· W2119632180 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Social Policy · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Policy and Reform Studies
Canadian institutionsConcordia University
Fundersnot available
KeywordsRetrenchmentWelfare reformFraming (construction)PensionRestructuringReform ActBlamePolitical sciencePublic administrationCorporatizationWelfareEconomicsPolitical economyLaw

Abstract

fetched live from OpenAlex

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.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.654
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.030
GPT teacher head0.404
Teacher spread0.374 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it