A Proteção social ao segmento idoso no contexto de crise do capital: a realidade do Brasil e da Espanha
Bibliographic record
Abstract
The objective of this study is to reflect on the social protection to the elderly section in the context of capital crisis, with reference to Brazil and Spain. The study was carried out through a bibliographical and documentary study, data from the United Nations, Brazilian and Spanish legislation. Projections by the United Nations indicate that in the year 2060, 27.3% of the population of developed countries will exceed 65 years, 16.8% in developing countries and indicate that the evolution of aging is different in developed and developing countries. The laws of both countries determine social protection from public policies, programs and social projects already implemented. However, it is not always what is determined in legislation if it is implemented in everyday practice and it is from the question about how the countries are preparing for the constant growth of this segment of the population. It is observed that the scenario is not promising, because in the face of the crisis of capital, monopoly capital seeks new niches for its maintenance and governments resort to measures and budget cuts to fit the financial system, through changes in legislation and of fiscal adjustment measures: flexibilization of labor relations, precariousness of social rights, among them the social security system, reviewing criteria and financing in a neoliberal tendency of fiscal adjustment.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".