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Record W4243286727 · doi:10.2166/nh.2006.0015

Preface

2006· article· en· W4243286727 on OpenAlexaboutno aff
Lars Bengtsson, Annette Sémadeni-Davies

Bibliographic record

VenueHydrology research · 2006
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental science

Abstract

fetched live from OpenAlex

The Regional Working Group of Northern Research Basins (NRB) was established in 1975 as part of the International Hydrological Program.The participating countries are the circumpolar ones: Canada, Denmark, Finland, Iceland, Norway, Russia, Sweden and the USA.Countries with relevant research programs are eligible for associate memberships.The UK, Japan, Germany and Switzerland are loosely associated.NRB was set up to foster research of river basins in high latitudes.The high latitudes include taiga, tundra and boreal forest ecosystems.The hydrological cycle of the high latitudes is dominated by snow, ice and permafrost.The main objectives of the NRB are: to gain better understanding of snow and ice processes and their influence on the hydrological regime; to provide data for development of transposable models and data for analysis and synthesis of hydrological processes; to assess and predict the influence of Man on the hydrological regime of northern environments; and to encourage exchange of personnel and information.The latter includes organization of NRB symposia 7 workshops every second year.The first NRB workshop was informally held in 1975 at the little village Edefors in northern Sweden.The symposia are open for all researchers with some limitations on the number of participants from each country.The 15th NRB Symposium / Workshop took place 29 August -2 September 2005 in Lulea ˚and at Kvikkjokk, again in the very north of Sweden.Since 1988 Nordic Hydrology has devoted a special issue for NRB.About 40 international scientists participated in the 2005 symposium.All contributions were collected in Proceedings, which were distributed at the symposium.The participants were given the opportunity to submit updated versions of their presentations for this special issue of Nordic Hydrology and go through an ordinary reviewing process.It is believed that NRB's cooperation with Nordic Hydrology through publication of special issues contributes to a wider dissemination of knowledge about northern hydrology.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.511
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0030.001
Scholarly communication0.0040.003
Open science0.0020.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.4890.337

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 head0.113
GPT teacher head0.342
Teacher spread0.229 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreEditorial

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".

Quick stats

Citations0
Published2006
Admission routes1
Has abstractyes

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