Proceedings of the 14th symposium on Principles and practice of declarative programming
Bibliographic record
Abstract
It is our great pleasure to welcome you to the 14th Symposium on Principles and Practice of Declarative Programming -- PPDP'12. This year's symposium continues its long tradition of bringing together researchers from the various declarative programming communities, including those working in the logic, constraint and functional programming paradigms. Our mission is to stimulate research in the use of logical formalisms and methods for specifying, performing, and share novel solutions for analysing computations, including mechanisms for mobility, modularity, concurrency, object-orientation, security, verification and static analysis. The call for papers attracted 42 submissions from Australia, Austria, Belgium, Brazil, Canada, Colombia, Denmark, France, Germany, Italy, Netherlands, Portugal, Qatar, Reunion, Serbia, Singapore, Slovenia, Spain, Sweden, Turkey, the United Kingdom and the United States, although some authors withdrew their papers for various reasons. The Program Committee (PC) too had a very international feel, drawn from 16 different countries. The PC accepted 18 papers in all that cover a variety of topics, including the applications of declarative languages. All papers received at least 3 reviews; external reviewers contributed 38 of these reviews. In addition, the proceedings includes the invited paper, Symbolic Evaluation Graphs and Term Rewriting -- A General Methodology for Analyzing Logic Programs, kindly contributed by Jurgen Giesl and his colleagues, that supports the PPDP'12/LOPSTR'12 joint invited talk. We are delighted that Torben Schaub agreed to give the PPDP'12 invited talk on Answer Set Solving in Practice. In addition, the program includes the invited talk, Indexing Structures in Programming Language Semantics and Design by Marcelo Fiore. This talk celebrates the paper Semantic analysis of normalisation by evaluation for typed lambda calculus by Marcelo that (at the time of writing) is the most highly cited paper from the PDPP'02 proceedings.
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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 | 0.011 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.003 | 0.011 |
| Insufficient payload (model declined to judge) | 0.054 | 0.027 |
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".