Bibliographic record
Abstract
The Spanish National Statistics Institute reported that the total number of residents in Spain as of January 1, 2011 was 47,150,819 inhabitants, and out of them 5,730,667 were foreign nationals, representing 12.2% of the total number registered. It also reported that in the first quarter of 2011, the number of unemployed persons stood up 4,910,200 and the unemployment rate reached 21.29% which was the highest in the European Union. Apart from the registered population, it is said that a large number of illegal immigrants live in Spain, looking for decent jobs. Under the current situation, a lot of microcredit institutions have provided the poor with small-uncollateralized loans to alleviate poverty. Their strategies are focused mainly on the limited financial support. In 2009, one microcredit institution launched upon a new project which organized the poor and adopted an integrated approach that both financial supports and non-financial ones were implemented. This paper examines how this project tries to include the poor among the community, with a focus on financial supports and non-financial ones. First, it provides a general overview of this project. Then, it describes the relationship between the project side and the project's group members. Finally, it suggests that this project is a social business which contributes to social inclusion.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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; both teacher heads agree on what is shown here.
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".