Young Hydrologic Society (YHS): vision, mission, and strategy
Bibliographic record
Abstract
The Young Hydrologic Society (YHS) is a grassroots initiative to stimulate the interaction and active participation of early career hydrologists within the hydrological sciences community and beyond. Our vision is to reform hydrologic community towards a more active and inclusive involvement of early career hydrologists. YHS mission is to connect and inform. With YHS, we want to (1) connect early career scientists (ECS) by regularly organizing scientific and professional development sessions/workshops, as well as social events at geoscience conferences e.g. EGU, AGU, and IAHS; (2) inform YHS members about successes/issues of the hydrologic community and the current and future research topics of the field. Social media, such as Twitter, blogs or Facebook have been instrumental for YHS to reach its goals. But we noticed that, even in the era of online communication, face-to-face contact remains to be the most effective way to foster connections globally and raise awareness about our network. Actively participating in workshops, seminars, and roundtable discussions at international conferences requires more resources, but the memories are longer lasting and can be even more meaningful/inspiring than what online posts provides. YHS takes pride in its strategy to diversify and empower National Initiatives (e.g. Canadian YHS) as well as actively collaborate with other ECS networks such as Student Subcommittee of AGU Hydrology Section (H3S), Young Earth System Scientists (YESS) community, and IAHS Early Career Committee. We recommend that diversifying ECS networks, engaging ECS in convening scientific sessions, in addition to expanding ECS-focused workshops/events should be an inalienable component of geoscience conferences.
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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 | 0.011 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.016 | 0.008 |
| Open science | 0.002 | 0.020 |
| Research integrity | 0.010 | 0.008 |
| Insufficient payload (model declined to judge) | 0.019 | 0.013 |
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".