IAGG INTERNATIONAL COUNCIL OF THE GERONTOLOGY STUDENT ORGANIZATION: COLLABORATIVE NETWORKS FOR EMERGING SCHOLARS: LOCAL, REGIONAL, AND INTERNATIONAL PERSPECTIVES
Bibliographic record
Abstract
There is growing interest in aging research internationally, yet many students and emerging scholars are uncertain of the process of establishing, building, and maintaining local, regional, and international connections. To address this need, the IAGG Council of Student Organizations (IAGG-CSO) offers a symposium of several presentations and a structured discussion bringing a multidisciplinary and multicultural perspective to the topic of engaging in gerontological networks. Emerging scholars are pursuing, more than ever, professional networking opportunities spanning local, regional, and international borders. As access to quality information and communication technology increases across the globe, the field of Gerontology is approaching a new frontier, with emerging scholars looking to establish collaborative research networks unrestricted by geographical boundaries. This symposium explores the “why” and “how” of engaging locally and internationally. This symposium includes paper presentations reflecting an international perspective (IAGG-CSO Executive Committee members who are emerging scholars from Australia, Canada, and the United States); a regional perspective on the challenges of networking across vast distances where there may be few student organizations; and the local perspective by the Emerging Scholars Professional Organization of the United States, on the establishment and momentum of a successful student organization. To conclude the session, the audience will be engaged in an interactive discussion of how to foster engagement at a local, regional and international level.
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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 | 0.050 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.012 | 0.008 |
| Scholarly communication | 0.022 | 0.009 |
| Open science | 0.004 | 0.019 |
| Research integrity | 0.020 | 0.016 |
| Insufficient payload (model declined to judge) | 0.013 | 0.005 |
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".