Bibliographic record
Abstract
In many Latin American countries, stringent crime control measures have failed to stem high levels of youth crime and violence. As a consequence, there is burgeoning interest in the notion of youth social capital as a basis for policies and programmes designed to enhance the rights of young people living in circumstances of poverty and risk. Yet there is little knowledge of existing sources of youth social capital in poor urban communities in Latin America. To address this gap, the authors conducted an inquiry into the sources and aspects of youth social capital in one low-income urban neighbourhood in Nicaragua. The study revealed that despite a local context fraught with the effects of poverty, youth experienced varying benefits from family and peer relationships, and from their differentiated associations with school, church, and places of work. In recognition of these existing sources of local support, we argue that youth social capital formation, particularly through family assistance and investments in schooling, has considerable merit as both a means and an end of community development strategies in low-income neighbourhoods. We acknowledge, however, that social capital formation as a basis of youth policies and programmes must be founded on a broad civic and political commitment to children’s rights which, as yet, is far from evident in Nicaragua.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".