Proceedings of the 7th ACM SIGPLAN international conference on Principles and practice of declarative programming
Bibliographic record
Abstract
This volume contains the papers presented at the 7th ACM-SIGPLAN International Symposium on Principles and Practice of Declarative Programming (PPDP 2005), held in Lisboa, Portugal, July 11-13, 2005. This symposium is the seventh in this series of international meetings on declarative programming. The previous meetings were held in Verona, Italy in 2004, Uppsala, Sweden in 2003, Pittsburgh, USA in 2002, Firenze, Italy in 2001, Montreal, Canada in 2000, and Paris, France in 1999.PPDP 2005 aims to provide a forum that brings together those in the declarative programming communities, including those working in the logic, constraint, and functional programming paradigms. The goal is to stimulate research in the use of logical formalisms and methods for specifying, performing, and analyzing computations, and to stimulate cross-fertilization by including work from one community that could be of particular interest and relevance to the others. Topics of more specific interest include enhancements to such formalisms with mechanisms for mobility, modularity, concurrency, object-orientation, and static analysis, as well as the fuller exploitation of the programming-as-proof-search framework through new designs and improved implementation methods. At the level of methodology, the use of logic-based principles in the design of tools for program development, analysis, and verification relative to all declarative paradigms is of interest.A total of 45 submissions were received in response to the call for papers. Each paper was reviewed by three referees and 20 papers were accepted for publication in these proceedings. In addition to the accepted papers, the scientific program included an invited talk by Manuel Hermenegildo (Technical University of Madrid and University of New Mexico), as well as two invited talks joint with the 32nd International Colloquium on Automata, Languages, and Programming (ICALP 2005), given by Giuseppe Castagna (ENS Paris) and John Mitchell (Stanford University).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.008 | 0.014 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.002 | 0.008 |
| Insufficient payload (model declined to judge) | 0.082 | 0.034 |
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".