Bibliographic record
Abstract
The American Crystallographic Association has focused its celebration of IYCr principally on outreach to spread the message of the importance of crystallography in our daily lives and to attract young people into science. We have formed an Ad Hoc Task Force, representing 13 geographical regions of 100-200 members each to develop our goals, to coordinate events and to enable specific activities. Key to our activities are a website which offers an attractive link for young scientists, projects and teaching tools for schools, biographies of important crystallographers, an adopt a crystallographer link, and video and crystal growing contests. We have continued to send scientists to Latin America for training workshops and assist Latin Americans in attending the ACA meetings. In order to create a lasting legacy for the International year, we have worked closely with national organizations such as in the US the National Science Teachers Association, the American Chemical Society, the American Institute of Physics, as well as student outreach groups like the Society for Physics Students. Forging an ongoing relationship with these organizations will aid our continuing outreach. Similar organizational contacts have been made in Canada and in Latin America. Working with national organizations can also help to influence the political climate for science funding.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.075 | 0.016 |
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".