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Record W2085586364 · doi:10.1080/02626667.2013.797581

Perceptions of scale in hydrology: what do you mean by regional scale?

2013· article· en· W2085586364 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHydrological Sciences Journal · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicHydrology and Watershed Management Studies
Canadian institutionsUniversity of British ColumbiaMcGill University
Fundersnot available
KeywordsScale (ratio)PerceptionOutreachEnvironmental scienceHydrology (agriculture)PsychologyGeographyEngineeringPolitical scienceCartography

Abstract

fetched live from OpenAlex

The discipline of hydrology has a long history of research in the practical and theoretical aspects of scaling and scale issues, but little effort has been focused on hydrologists’ perception of the scale terms. What exactly do hydrologists mean when they use the terms “pore scale” or “regional scale”? The application of hydrological research requires clear communication, both within the discipline, and with a broader audience. Quantitative and qualitative data on hydrologists’ perceptions of scale were collected using voluntary written surveys and face-to-face interviews. The results suggest that most hydrologists do not consistently define scale terms in the literature, and that this is a minor impediment when interacting with other disciplines and stakeholders. Yet, surface water and groundwater hydrologists agree, within one to two orders of magnitude, on the length scale for most scale terms. Most respondents suggest that the hydrological community needs to better define the length scale of scale terms. In the short term, hydrologists could more frequently and consistently clarify their own length scales whenever a scale term is used. A common and consistent language of scale for hydrological researchers could better enable communication, research, teaching and outreach. <b>Editor</b> Z.W. Kundzewicz; <b>Associate editor</b> T. Wagener<b>Citation</b> Gleeson, T. and Paszkowski, D., 2013. Perceptions of scale in hydrology: what do you mean by regional scale? <i>Hydrological Sciences Journal</i>, 59 (1), 99–107.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.054
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.003
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0100.001

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.

Opus teacher head0.015
GPT teacher head0.241
Teacher spread0.226 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it