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Record W4387125297 · doi:10.24917/20801653.373.4

Assessment of the Population of Medium and Small Towns of Europe in the Last Quarter of the 19th Century in the Works by Professor Alexander Georg Supan

2023· article· en· W4387125297 on OpenAlexaboutno aff
Valeriy Rudenko, Viktoriia Bilous

Bibliographic record

VenueStudies of the Industrial Geography Commission of the Polish Geographical Society · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicWhitehead's Philosophy and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Late 19th centuryHistoryArchaeologyArtPeriod (music)Aesthetics

Abstract

fetched live from OpenAlex

The article under studies highlights the results of the population assessment in medium and small European towns in 1875, 1880, 1890, 1904. These were presented by Alexander Supan (1847-1920) in his «Lehrbuch der Geographie nach den Principien der neueren Wissenschaft für österreichische Mittelschulen und verwandte Lehranstalten sowie zum Selbstunterrichte» (Textbook of Geography for Austrian Middle Schools and Related Institutions, as Well as Self-Instruction), published in the second (1875), the fourth (1880), the seventh (1890), and the eleventh (1904) editions. Particular emphasis has been laid on the fact that over the last quarter of the XIX century, the number of medium-populated European towns have exceeded 1/5, whereas that of small towns - 1/10 of all European cities. In addition, the article presents the population dynamics of 131 medium towns of Europe in 1875, 1880, 1890, 1904, as well as ascertains that among the European countries, medium towns were most typical for Austria-Hungary and Germany.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.037
GPT teacher head0.291
Teacher spread0.254 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueStudies of the Industrial Geography Commission of the Polish Geographical SocietySame topicWhitehead's Philosophy and ApplicationsFrench-language works237,207