Looking for a Dream: understanding rural youth life trajectories in Colombia
Bibliographic record
Abstract
The voice of rural youth in the Global South is still missing from the sustainable development agenda and related academic research. Rural youth are one of the most underrepresented groups. Despite the fact that most of the global south population is young and lives in rural areas. The existing literature on rural youth is largely focused on economic aspects, which considers youth as labour in agricultural production. Few articles consider other aspects that might have a direct influence in rural youths’ decision-making process. This research study provides relevant data on the prevailing conditions that influence decision-making processes in rural areas of Colombia from the perspective of rural youth. In the communities where the research was conducted, legal and illegal economies co-exist. This presentation is based on the results of participatory research to make participants collaborators in the study. To do that the research conducted four photovoice projects and focus groups. The research study evidences that although the macro structures (economic, social) and the regime (community/family) influence the decision-making process, rural youth's self-determination might explain why some individuals choose one life-course or another. A systems-based approach is required to explore and understand rural youth realities in the Global South. Understanding what aspects influence rural youth decision-making processes provides critical information to design and implement age and context-appropriate policies and programs.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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".