HELPING: Co-creating and communicating water solutions in a globally changing world
Bibliographic record
Abstract
The current IAHS decade is dedicated to "Hydrology Engaging Local People IN one Global world" (HELPING). One of the core mandates of HELPING, as captured under Theme 3, emphasizes the co-creation of water knowledge and communication. Even though co-creation is not novel, especially within a participatory framework, defining and providing boundaries has been challenging when viewed through a hydrological lens. Our ongoing discussions and meetings have focused on understanding the uniqueness of this Theme and how best we can HELP to utilize diverse communication instruments IN one Global world. For Theme 3, we intend to answer questions such as: (a) How best can we co-create hydrological knowledge (indigenous/traditional and evidence-based) between people and disciplines? (b) How can we improve and increase the visibility of the hydrological decade? (c) How can we provide water solutions through the active engagement of Local People? Some answers to these questions lie in focusing on bottom-up approaches to solve the water crisis in a globally changing world. We acknowledge the fluidities in HELPING regarding the co-creation of water knowledge, which underscores the recognition of variability and complexity within this endeavour. As such, we intend to be diverse in our approach by amplifying silent voices that may have been overlooked, also with a decolonial perspective, and engaging other perspectives from other disciplines, such as but not limited to social sciences and humanities, specifically those whose work intersects sociohydrology, hydro-sociology, hydropolitics and hydronarratives.
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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 | 0.031 | 0.034 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.012 | 0.020 |
| Scholarly communication | 0.017 | 0.022 |
| Open science | 0.004 | 0.038 |
| Research integrity | 0.009 | 0.007 |
| Insufficient payload (model declined to judge) | 0.020 | 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".