Bibliographic record
Abstract
s of Talks and Posters Reso Royal Garden Hotel Trondheim, Norway Sponsors: The North Atlantic Treaty Organization Iterated Systems, Inc. The Institute for Nonlieanr Science at the University of California San Diego Organizing committee: Yuval Fisher, University of California, San Diego, USA Geir Øein, Rogaland University Center, Norway. Claude Tricot, ' Ecole Polytechnique, Montr'eal, Canada. Jaques Vehel-Levy, INRIA, France. July 8-17, Contents Schedule of Talks Saturday, July 8 3 09:00--10:00 Opening Welcome Address, Yuval Fisher 10:15--11:15 Fractals in Signal Processing, Arnaud Jacquin 13:00--14:00 Iterated Set Maps, Michael Barnsley 14:15--15:15 Dimensions of Fractals and Multifractals I, Kenneth J Falconer 16:00--17:00 Adaptive Self-Quantization of Wavelet Subtrees: A Wavelet-Based Theory of Fractal Image Compression, Geoff Davis Sunday, July 9 5 09:00--10:00 On the benefits of basis orthogonalization in fractal compression, Geir E. Øien 10:15--11:15 Fractal Image Codi...
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.801 | 0.710 |
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".