The 1982 Mexican Bank Statization and Unintended Consequences for the Emergence of Neoliberalism
Bibliographic record
Abstract
Abstract. The 1982 Mexican presidential decision to statize all domestic commercial banks was meant to reset state bank capital relations and salvage some form of state-led capitalism. However, bank statization had the counterintuitive and ultimately unintended consequence of enabling a more rapid transition to neoliberalism, financialization and market-led capitalism than otherwise may have been possible. The implications of this are profound as alternatives to neoliberalism that seek a return to state-led development are ultimately flawed without more collective, local, and substantively democratic calls for the control of credit and, hence, human development. Résumé. La décision présidentielle mexicaine de 1982 d'étatiser toutes les banques commerciales domestiques avait pour but la reconfiguration des relations capitalistes État-banque afin de récupérer une certaine forme de capitalisme étatique. Or, ce processus eu pour conséquences inattendues l'accélération de la transition au néolibéralisme, à la financiarisation et au capitalisme de marché. Les implications sont profondes pour les alternatives au néolibéralisme qui, cherchant un retour au capitalisme d'État, s'avèrent inefficaces sans un contrôle collectif, local et démocratique du crédit et, par ricochet, du développement humain.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".