Youth Volunteerism, as Non-formal Education, for Professional and Social Integration of Young Labor Force in Pakistan
Bibliographic record
Abstract
Young people are an asset to Pakistan, and they can play a vital role in the country's social and economic development. Non-formal education to promote volunteering activity in Pakistan can endorse the professional and social integration of the young labor force by preparing them with the labor's contemporary skills. The current study is an attempt to explore the situation in Pakistan and identify: (a) if non-formal education plays a role in youth's engagement in volunteering activity; (b) why young people volunteer; (c) what they can learn through volunteering; (d) the significant barriers which can prevent them from volunteering even after getting the training and opportunities to volunteer. Data was collected using purposive sampling from 4 different nonprofit organizations (NPOs), with city offices in three major cities of Pakistan. NPOs, on their end, collected the data form the youth volunteers working with them randomly using an online survey. The research findings revealed that non-formal education plays a significant role in ensuring young people's engagement in volunteering activity. The findings and recommendations from the study can guide youth initiatives and policies in Pakistan to include systematic and consistent non-formal education programs to promote youth volunteerism in Pakistan.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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".