A quarter century of organizing conferences
Bibliographic record
Abstract
The author had the honour to organize and shepherd the meetings of C3S2E and IDEAS. The former went through transformations from Canadian to international meetings! This year is the silver anniversary of the latter. It has been an exciting quarter \ncentury to organize and hold these meetings and publish their proceedings: through good times and not so good ones. During this time we survived Ebola, MERS and SARS. Whereas the others were local, the Covid pandemic, which still rages, has forced us to move to an on-line version, but thanks to the participants and the dedicated program committee we have continued. This paper is a photographic journey through these years. Unfortunately we have not been able to have the images of all participants over the quarter century, just a sampling of some of the fond moments during the social gatherings of the IDEAS/C3S2E.
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 | 0.016 | 0.034 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.016 | 0.006 |
| Scholarly communication | 0.029 | 0.011 |
| Open science | 0.003 | 0.013 |
| Research integrity | 0.005 | 0.012 |
| Insufficient payload (model declined to judge) | 0.057 | 0.023 |
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".