Program Booklet of The 8th International Workshop on Systems, Signal Processing and their Applications
Bibliographic record
Abstract
This is the Program Booklet of the event, WoSSPA’2013, held at Mazafran, Tipaza, nearby Algiers. The “Centre de Developpement des Technologies Avancees” (CDTA) in Algiers was the local co-organizer and main sponsor of the event. The main scientific and technical organizers of this event, in addition to myself (from Qatar University and University of Queensland, Australia), came from different parts of the world, including University of Rijeka, Croatia, “Ecole Polytechnique” of Algiers, and many others in Canada, USA, Ireland and France with the main contributors from CDTA being the Vice-Chair and the TPC liaison. This meeting represented the 27th Anniversary of WoSSPA, and the second time it was hosted in an African country. For more details, visit http://www.wosspa2013.org to view WoSSPA2013 or see directly wosspa2013 program on http://edas.info/p13125.
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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) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.467 | 0.312 |
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".