Influence of Cash Transfer Program on Socio-Economic Empowerment of Communities in IDPS of Burao, Somaliland
Bibliographic record
Abstract
Purpose: The purpose of this presentation was to study in framed on one main objective which is to reve al the influence of cash transfer programs (CTPs) on socio-economic empowerment (SEE) of IDPs communities located in Burao Somaliland. Materials and Methods: The research design used was descriptive survey design. The study targeted a population of 18,818 comprising of cash transfer officers, Camp Management Committee and IDPs households. A sample size of 105 of the respondents was carefully selected using probability sampling. The research relied on interview guides and research questionnaires as tools for data collection which were subjected to reliability and validity tests to ensure they achieved the recommended status before they were used in the actual study. Descriptive statistics such as percentages, standard deviations and means and also inferential analysis such as Pearson correlation coefficient and regression analysis were used to analyze the collected data. Findings: This study established that there were a positive relationship Cash transfer programs on socio-economic empowerments in communities living IDPs Burao, Somaliland by use of both descriptive and inferential analysis, the study concluded that Poverty Alleviation of CTPs had a positive and significance influence on socio-economic empowerment of communities in IDPs Burao Somaliland. Implications to Theory, Practice and Policy: Universalism theory may be used to anchor future studies on assessing the influence of cash transfer programs on socio-economic empowerment. From the standpoint of social protection theory, the success of cash transfer programs in fostering socioeconomic empowerment is considered to be a manifestation of the universal principles of justice, fairness, and human dignity. These programs seek to establish a more equitable society where everyone has the chance to better their socioeconomic condition and realize their full potential by tackling the underlying causes of poverty and inequality.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".