Bibliographic record
Abstract
Abstract:An interview with Iraqi-Canadian filmmaker Sama Waham, exploring her cinematic journey and how she uses the camera to bridge the distance with her homeland and discuss issues of identity and exile.الملخص:حوار مع المخرجة السينمائية العراقية سما وهام، يستعرض تجربتها في المهجر وكيف توظف الكاميرا لمواجهة المسافة مع الوطن ومناقشة قضايا الهوية والانتماء.This work was originally published in: صحيفة العرب, Volume 43, Issue 11868, Pages 15, 2020.This version is archived in the Arab International University (AIU) repository for open access and dissemination purposes.The content of this paper has not been modified from the original publication.For more information, please visit the official repository of Arab International University (AIU): https://www.aiu.edu.sy
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.016 | 0.003 |
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".