Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This volume contains the proceedings of the Fourth International Workshop on Higher Order Operational Techniques in Semantics (HOOTS 2000). The workshop was held on 22 September 2000 in Montréal, Canada, as part of the ACM Colloquium on Principles, Logics, and Implementations of high-level programming languages (PLI 2000). These proceedings are available as Issue 3 of Volume 41 of Elsevier's Electronic Notes in Computer Science: http://www.elsevier.nl/locate/entcs/ Thanks are due to a number of people, especially the programme committee: Andrew Gordon, Microsoft Research Robert Harper, Carnegie Mellon University Alan Jeffrey, DePaul University (Chair) Andrew Pitts, Cambridge University Julian Rathke, Sussex University David Sands, Chalmers University Davide Sangiorgi, INRIA Sophia Antipolis Carolyn Talcott, Stanford University We would also like to thank the anonymous referees who helped to review the papers for this meeting. There were two invited talks for this workshop: A Second Glance at Feferman-Landin Logic by Ian Mason, University of New England, Australia (joint work with Carolyn L. Talcott, Stanford University). Weak Bisimulations by Decreasing Diagrams by Cédric Fournet, Microsoft Research (joint work with Georges Gonthier, INRIA Rocquencourt). The PLI 2000 workshops were organized by Amy Felty, University of Ottawa, and Franck van Breugel, York University. The ENTCS series is edited by Michael Mislove, Tulane University. On behalf of the participants, we would like to thank Microsoft Research for their generous sponsorship of this workshop.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it