Study on Social Organizations’ Role During the Process of Antipoverty in Argentina
Bibliographic record
Abstract
From 1970s to the beginning of 1990s, Argentina had experienced a rapid process of immiserization which led to the increase of unemployment and the reduction of income. During the period from 1990s to the beginning of 21st century, “poverty relapse” once again, both the absolute poverty population and the relative poverty population have increased exponentially, and then here came a new poor class which consisted of the middle class. During this process, social organizations in Argentina engaged in the labor training progress and economic development plan which were proposed by the government, playing the role of employment assistance in the process of antipoverty, from charity relief to technical assistance, from disorder to professionalize progress focusing on organization ability construction, from independence to collaboration and complementarity with government. Social organizations have made up the deficiency of the market mechanism and inadequacies of government poverty alleviation work, which have accumulated rich experience, and social organizations become an important force of antipoverty in Argentina.
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How this classification was reachedexpand
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".