THE MISSION OF IAGG-CSO TO FACILITATE NETWORKS AMONG STUDENT ORGANIZATIONS
Bibliographic record
Abstract
The IAGG-CSO is a standing committee of the IAGG, represented currently by three executive members from Australia, Canada and the United States. The IAGG-CSO works to support its members (student and emerging scholar sections within IAGG member sections, international gerontology/geriatric student and emerging scholar networks, and individuals working to create student sections) and foster participation and networking opportunities across the globe, particularly focused on the Regional and World Congresses. The IAGG-CSO is well placed to facilitate networking through regular newsletter contributions, commencement of a webinar series, development of a social media group (LinkedIn), and a vibrant student and emerging scholar program at the Regional and World Congresses. The symposium audience will be used to garner ideas regarding capacity building and local and international engagement for members, together with understanding how the IAGG-CSO can better meet the needs of members moving forward into the next 4 year cycle of IAGG secretariat.
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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 | 0.014 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.012 | 0.005 |
| Open science | 0.002 | 0.017 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.052 | 0.029 |
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".