Longing to belong: social inclusion of youth on the margins of society
Bibliographic record
Abstract
It is reported that in India, the youth population of 18 to 30 yearsrepresents 48.1% of the total population of the country. Also it is foundthat among all the youth, 51.3% are economically active while theremaining 49.4% are economically inactive i.e. are outside the labormarket, and almost a quarter (24.2%) of the youth population is neitherstudying nor working. In addition, opportunities for young people toaccess suitable work are inadequate because of their education, lackof skill, divergent career and by the disparity between the trainingoffered and the experience required by the current labour market ofthe country. Youth from marginalized sections are facing numerous issues and problems for social inclusion. It is high time researchers,stakeholders and policy-makers discuss the possibility of inclusivepolicies and avenues for youth.
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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 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".