The "artistic biography" with displaced youth in camps in Iraq: Presence as an indicator of entry into resilience
Bibliographic record
Abstract
The current armed conflicts in the world, and in particular those linked to the Islamic State System (ISIS) in Iraq, constitute a major obstacle to stable benchmarks, to a collective reading of a common culture, and to a society free from the symptoms of war. Inclusive artistic interventions are often deployed with children affected by conflict as a source of resilience and empowerment. The objective of this article is to propose entry into resilience identified during the implementation of a device of an "artistic biography" activities with coaches of an NGO and young people in a camp in Iraq. The device built was a project to "paint our caravans" as a first project with the young people in a camp. Through our experience as an artist, trainer and researcher, we observe the indicators of entry into "presence" during the artistic activities. Involvement in a collective work, self-recognition by the coaches and self-recognition in the final artistic work are the three indicators of presence that we note. Individual and collective resilience processes are complex and long and subject to many obstacles. Our article invites further investigation to build evidence to develop artistic response in humanitarian emergencies.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".