Foreword – Avant-propos – Vorwort
Bibliographic record
Abstract
in Toronto, August 17-22, 2008.This was the second time the Congress was held in Canada, the previous occasion being in 1987 at Laval University in Quebec City, and the third time in North America, including the meeting at the University of Michigan at Ann Arbor, U.S.A. in 1981.The general theme of the Congress was Names in Contact: Names in a Multi-Lingual, Multi-Cultural, Multi-Ethnic World, an appropriate topic for Toronto, the most multi-ethnic city in North America, and reportedly in the world.The Congress was well attended with some 180 participants from 37 countries.160 papers were read on a wide variety of topics focusing on the general theme of the meeting, illustrating the diverse and far-reaching nature of onomastics as a discipline.These Proceedings contain 118 papers that have been reviewed by the Selection Committee.While the theme of the Congress constitutes the general background of most contributions, the papers address an extraordinarily rich mosaic of topics in toponymy, anthroponymy, brand names, etc. and involve a wide range of related disciplines such as history, geography, psychology, linguistics and several other areas of the humanities and social sciences.These Proceedings proudly join the Proceedings that were published by most of the previous twenty-two conferences of the International Council of Onomastic Sciences that have been held throughout Europe and North America since the 1937 founding conference in Paris.It is our hope that this set of papers will serve as a memorial to the 2008 meeting in Toronto as well as an invitation to future scholars to join a dynamic international interdisciplinary research community.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.375 | 0.255 |
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".