Bibliographic record
Abstract
Regarding the issue of poverty and poverty reduction, and is a global issue.In recent years, reducing the rate of poverty is seen as the goal of development policy and cooperation.Millennium Development Goals, which were agreed by world leaders in 2000 to reduce poverty at the top of its development agenda.Few studies on poverty started at the beginning of the 20th century.Since the late 1970s and early 1980s due to the adoption of structural adjustment programs, liberalization and privatization by many countries of the world, poverty and the protection of vulnerable groups was considered more severe.Many scientists believed that the implementation of economic policies, poor and low-income groups increased.In response to this situation and to prevent the development of poverty, international and regional organizations to take appropriate measures adopted.For example, the decade 1006-1997 the United Nations Decade "eradication of poverty" called.Poverty is a multidimensional phenomenon and therefore is defined in different ways.According to Townsend (1985) individuals, families and population groups is considered to be poor, to take into account the lack of resources to acquire food needs are met.Stats Sen (1979) refers to the exclusion of all definitions of the word poverty is a relative concept.Deprivation of assets and opportunities to which every person is entitled to them.In a developing country, deprivation of food and housing and drug and relative deprivation in more developed countries the average living conditions and opportunities.According to this three definitions of poverty as relative poverty, absolute, there are subjective and objective.As the first step in the calculation and measurement of poverty is the poverty line In this paper, the different concepts of poverty and the poverty line and explain the methods of measuring poverty.The poverty rate of change in Iran and for the region, we will continue.The poverty indicators (measurements) and calculation methods are provided for the period (75-85) will be calculated and analyzed them.To study the effect of growth on the welfare of the criteria used and the results of the analysis of poverty and peace in the Middle East, the Middle East and North Africa.Then the welfare effect of income and economic growth will be oriented with a great view to the issue of poverty scavenger, scavenger poverty index and analyze long-term growth in these areas will come on.Key words: the concept of poverty, poverty,
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.975 | 0.969 |
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; the direct Gemma label and the distilled Codex classifier 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".