Fechner Day 2015 – Proceedings of the 31st Annual Meeting of the International Society for Psychophysics
Bibliographic record
Abstract
It is an honor to host in Quebec, for the second time, the Annual Meeting of the International Society for Psychophysics. Quebec is the second oldest city in North America, and Fechner Day 2015 will actually be held in the Old Quebec. For one afternoon though, the participants to the meeting will be moved to a newer part of the city where is now located Laval University, one of the oldest universities of the continent. The meeting will begin with a keynote address by Bruce Schneider on the future of psychophysics, and will end on a series of talks by young psychophysicists. The meeting will include a series of talks and posters on several aspects of psychophysical research, and a brief “In memoriam” section dedicated to two long-standing members of the Society, Hannes Eisler and Bill Petrusic. We would like to thank Geoff Patching, an organizer of Fechner Day 2014, for transmitting his knowledge, Zhuanghua Shi and Jordan Schoenherr who are taking care of ISP website and communication, and the members of the executive committee. We would like to extend special thanks to the city of Quebec and the Faculty of Social Sciences of Laval University for their financial support. Finally, we also want to thank the personal of Hotel Clarendon for the most appreciated collaboration at various stages of the organization of the meeting. We hope that Fechner Day 2015 will be, as is the tradition, a fine mixture of stimulating intellectual discussions and friendly social interactions. Welcome to Quebec! Simon Grondin and Vincent Laflamme
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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.111 | 0.047 |
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".