Bibliographic record
Abstract
Abstract On behalf of the Organizing Committee for IUPAC|CCCE 2021, I am delighted to invite you to the 51 st IUPAC General Assembly (GA) and 48 th World Chemistry Congress (WCC), in conjunction with the 104 th Canadian Chemistry Conference and Exhibition (CCCE). The IUPAC|CCCE 2021 events will be hosted by the Canadian Society for Chemistry (CSC), the Canadian National Committee for IUPAC (CNC-IUPAC) and the National Research Council Canada (NRC). Canada has previously hosted the IUPAC GA & WCC in Vancouver (1981) and Ottawa (2003). The original plans for IUPAC|CCCE 2021 were for the events to take place in Montréal, QC, Canada, 13-20 August 2021. Unfortunately, as travel to Montréal are impeded by the global pandemic, all events associated with IUPAC|CCCE 2021 will occur virtually. As chemical sciences professionals, we know conferences are a key venue for professional development, networking, and scientific advancement, and we will work to ensure that these principles stand true for the virtual event as well. While not a replacement for in-person events, this new endeavour will synthesize the best of our in-person events, with the convenience and accessibility of a virtual event. Beyond that, a virtual experience provides unique opportunities to engage a global audience, reach more young professionals, reduce our environmental impact, and stay safe.
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 | 0.007 | 0.008 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.155 | 0.106 |
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".