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Record W2012944048 · doi:10.1002/joc.1667

Weather patterns in eastern Slovakia 1717–1730, based on records from the Breslau meteorological network

2008· article· en· W2012944048 on OpenAlexaboutno aff
Rudolf Brázdil, Andrea Kiss, Jürg Luterbacher, Hubert Valášek

Bibliographic record

VenueInternational Journal of Climatology · 2008
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicTree-ring climate responses
Canadian institutionsnot available
Fundersnot available
KeywordsClimatologyPrecipitationAutomatic weather stationPeriod (music)George (robot)Weather stationQuarter (Canadian coin)Environmental scienceMeteorologyGeographyHistoryGeologyArchaeology

Abstract

fetched live from OpenAlex

Abstract The Breslau (Wrocław) physician, Johann Kanold established a network that included direct meteorological measurements and visual weather observations from several places in Europe. The results of the observations were published every quarter of a year for the 1717–1730 period. They included the first meteorological measurements from the Prešov station (1717–1720), made by the physician, Johann Adam Reimann for the recently defined eastern Slovakia (former Upper Hungary), as well as visual weather observations provided up to 1730 in a similar fashion in Kežmarok by George Buchholtz. The quality of the instrumental measurements of pressure and temperature is discussed. Observations from both places have been used to derive weighted temperature and precipitation indices. Three outstanding weather periods have been analysed in detail: a drought spring‐autumn in 1718, disastrous floods in 1725 and a severe and snowy winter in 1725–1726. The article is a contribution to the historical climatology of Slovakia and central Europe. Copyright © 2008 Royal Meteorological Society

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 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 categoriesInsufficient 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 score0.005
Threshold uncertainty score0.998

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.033
GPT teacher head0.268
Teacher spread0.235 · 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 teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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

Citations29
Published2008
Admission routes1
Has abstractyes

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