Conference Panels
Bibliographic record
Abstract
Abstract PANEL SESSION 1 – IRAQI STUDIES AS A FIELD OF STUDY (10:00 A.M.–11:30 A.M.) PANEL SESSION 2 – ROUNDTABLE ON IRAQ’S PROGRESSIVE FORCES (11:45 A.M.–01:15 P.M.) PANEL SESSION 3 – IRAQ’S DOMESTIC ECONOMY (02:30 P.M.–04:30 P.M.) PANEL SESSION 4 – IRAQ AND THE REGIONAL STATE SYSTEM (04:45 P.M.–06:30 P.M.) PANEL SESSION 5 – THE ASSAULT ON IRAQIS AND IRAQI CULTURE (09:00 A.M.–10:30 A.M.) PANEL SESSION 6 – MONARCHICAL IRAQ: EDUCATION, LITERATURE, MEMORY (10:45 A.M.–12:15 P.M.) PANEL SESSION 7 – CINEMA AND POLITICS IN/OF IRAQ (02:00 P.M.–03:30 P.M.) PANEL SESSION 8 – SCREENING OF AL-QADISIYYA (1981) (145 MINUTES) (03:45 P.M.–06:15 P.M.) ROUNDTABLE ON SCHOLARLY PUBLISHING (9:00 A.M.–10:15 A.M.) PANEL SESSION 9 – HIGHER EDUCATION AND CIVIL SOCIETY IN IRAQ TODAY (10:30 A.M.–12:00 P.M.) PANEL SESSION 10 – IRAQ, THE U.S. AND THE WAR AGAINST TERRORISTS I (1:30 P.M.–3:00 P.M.) PANEL SESSION 11 – IRAQ, THE U.S. AND THE WAR AGAINST TERRORISTS II (3:15 P.M.–4:45 P.M.) CLOSING REMARKS DELIVERED BY SINAN ANTOON (05:00 P.M.–06:00 P.M.)
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.766 | 0.616 |
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".