Young Hydrologic Society (YHS): vision, mission, and strategy
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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 it