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Record W4407186671 · doi:10.1080/04353684.2025.2461778

‘What belongs to the Czechoslovak nation’: geographers’ and mapmakers’ visions of Czechoslovakia before the Paris Peace Conference

2025· article· en· W4407186671 on OpenAlexfundno aff
Tess Megginson

Bibliographic record

VenueGeografiska Annaler Series B Human Geography · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicEastern European Communism and Reforms
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaZeit-Stiftung Ebelin und Gerd Bucerius
KeywordsVisionPolitical scienceEconomic historyEconomic geographyRegional scienceGeographySociologyAnthropologyHistory

Abstract

fetched live from OpenAlex

This article explores the lives and works of four mapmakers – Viktor Dvorský, Lubor Niederle, Jaroslav Pantoflíček, and Jan Kapras – before the creation of Czechoslovakia. In 1917 and 1918, nationalist thought became more prominent in the works of the Czechoslovak geographers and mapmakers who aided the delegation at the Peace Conference after the war. The work that mapmakers and geographers produced during this period would directly impact the roles they played in creating their state. While each of these mapmakers based their claims on scientific principles, their unique academic training, professional experiences, and their nationalism all influenced the work they produced. In the immediate post-war period, then, these geographers and mapmakers seized the opportunity to use their geography credentials to gain political influence and achieve national aspirations for their state. These four mapmakers were essential for creating Czechoslovakia’s borders after the First World War and they played a pivotal role in shaping the borders of interwar Europe.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.534
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
Bibliometrics0.0010.002
Science and technology studies0.0040.003
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.017
GPT teacher head0.289
Teacher spread0.272 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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