Bibliographic record
Abstract
For the many years of Colombia’s civil war, youth have been trying to find their way in complicated and dangerous situations. A central component of this is their relationship with armed groups, something that has evolved considerably over the past ten years. This practice note examines the context within which these connections are formed and the implications this has for self/social identity and meaningful resistance. The ideas in this practice note are based on consultations with young Colombians, particularly those displaced from 2000-2013. These sessions included art activities, focus groups and individual interviews. Art activities involved descriptive and expressive projects so that participants could explore their feelings and memories of situations and experiences. This provided a base for group discussions where youth exchanged information and debated issues. A total of 34 workshops were held over a twelve year period. These consultations revealed how war flows all over young people, touching every aspect of their identity. The boundaries between the personal and political no longer exist in today’s civil wars, if indeed they every truly did. Young people growing up inside Colombia’s war understand this at a deep level. An acknowledgement of this pain – showing the connections between the personal and political dimensions of war – is, they would maintain, the basis for their personal healing as well as an important tool for the building of sustainable peace.
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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 | 0.000 | 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 | 0.008 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.001 |
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".